Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 30 of 32
Full-Text Articles in Food Processing
A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao
A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao
Food and Machinery
[Objective] To address the high missed detection rate of defective fruits and poor grading accuracy in current post-harvest fragrant pear sorting. [Methods] On the basis of an existing visual inspection system for fragrant pears, a machine vision detection system integrating an improved YOLOv8s algorithm and multi-dimensional morphological features is designed. An ECA attention module is introduced to enhance the model sensitivity to subtle defects, enabling fast and precise localization and segmentation of pears. Conventional morphological feature extraction is employed to conduct multi-dimensional shape analysis for identifying and rejecting defective fruits. Pressure-sensitive sensors are then used to grade the remaining qualified …
Intelligent Detection Method For Food Packaging Defects Based On Improved U-Net And Machine Vision, Qi Guohong, Zhang Jing, Li Lili
Intelligent Detection Method For Food Packaging Defects Based On Improved U-Net And Machine Vision, Qi Guohong, Zhang Jing, Li Lili
Food and Machinery
[Objective] To address the issues of weak generalization, insufficient accuracy, and poor anti-interference ability in existing intelligent detection methods for food packaging defects. [Methods] On the basis of the intelligent sorting system for food packaging defects, a method for intelligent detection of food packaging defects is proposed, which combines machine vision and an improved U-Net model. By introducing a multi-scale residual convolution module into the convolution module, the method reduces the computational complexity of the model and improves the training effect. By integrating channel attention, spatial attention, and multi-scale attention, a lightweight hybrid attention module is constructed to achieve the …
A Rapid Quality Inspection Method For Refrigerated Fish Based On Improved Plsr-Yolov 13, Wu Xia, Tian Erlin, Wang Qifeng, Zhu Cong
A Rapid Quality Inspection Method For Refrigerated Fish Based On Improved Plsr-Yolov 13, Wu Xia, Tian Erlin, Wang Qifeng, Zhu Cong
Food and Machinery
［Objective］ To effectively solve the problems of complex operation, long time consumption, insufficient accuracy, and difficulty in balancing speed and accuracy in existing quality inspection methods for refrigerated fish.［Methods］ On the basis of a food quality inspection system that integrates multiple detection technologies, a rapid quality inspection method for refrigerated fish that combines hyperspectral data and machine vision is constructed. The hyperspectral imaging technology is employed to collect spectral data of refrigerated fish, and the data are preprocessed and input into an improved partial least squares regression model to achieve accurate determination of total volatile basic nitrogen content, and then …
Grain And Chaff Separation Detection Method Based On Machine Vision, Li Xin, Qi Jiamin, Cheng Hao, Wang Yanchun
Grain And Chaff Separation Detection Method Based On Machine Vision, Li Xin, Qi Jiamin, Cheng Hao, Wang Yanchun
Food and Machinery
[Objective] To solve the problem of poor manual detection accuracy of traditional grain and chaff separator and improve production efficiency. [Methods] An image detection method based on machine vision was proposed, which realized the feature recognition and separation of grain rough through multi-stage progressive fusion of different image algorithms. The acquired images were selected in the ROI region and enhanced by Retinex algorithm. The Otsu algorithm was used to segment the image, and then the median filtering wwas combined with morphology to remove the image noise. The improved Canny algorithm was used to detect edge features of binary images, and …
Research On Oyster Grading Equipment Based On Machine Vision, Zhao Lankai, Gao Guodong, Sun Zihao, Li Xiang, Wu Yunze
Research On Oyster Grading Equipment Based On Machine Vision, Zhao Lankai, Gao Guodong, Sun Zihao, Li Xiang, Wu Yunze
Food and Machinery
Objective: To improve the accuracy and comprehensiveness of oyster grading. Methods: The oyster automatic grading equipment was proposed and designed, the oyster queuing structure combining the rotating drum and the baffle conveyor belt, the grading method combining weight detection and machine vision detection were determined, and the overall structure design of the oyster grading equipment was completed. The oyster image was collected by industrial camera, and the oyster image was extracted by Otsu binarization, Gaussian filtering processing, Canny operator edge extraction and other methods. The oyster was graded by machine vision algorithm with length and fullness as the standard, and …
A Red Fuji Apple Appearance Grading Method Based On Improved Whale Optimization Algorithm And Cnn, Liu Sujiao, Lu Mingxing, Wang Chunfang, Zhao Zifeng, Liu Yi
A Red Fuji Apple Appearance Grading Method Based On Improved Whale Optimization Algorithm And Cnn, Liu Sujiao, Lu Mingxing, Wang Chunfang, Zhao Zifeng, Liu Yi
Food and Machinery
Objective: In order to improve the accuracy of machine vision technology in grading the appearance quality of red Fuji apples, a red Fuji apple appearance grading method based on improved whale optimization algorithm （WOA） and CNN is proposed. Methods: A red Fuji apple image database with different appearance quality levels was established, and the database images were preprocessed so as to improve the training effect and generalization ability of the model. The improved CNN-LSTM was designed as the weighted grey correlation method was used to compress the CNN convolution scale, in order to reduce redundant interference between features and improve …
Robot's Automatic Strategy For Fermented Grains Scooping Based On Machine Vision, Tian Huairui, Tian Jianyan, Wang Sugang, Wang Xiaobo
Robot's Automatic Strategy For Fermented Grains Scooping Based On Machine Vision, Tian Huairui, Tian Jianyan, Wang Sugang, Wang Xiaobo
Food and Machinery
Objective: To solve the problems of low level of automation and high labor intensity of workers in the fermented grains discharging process of solid-state fermentation in the ground-pot. Methods: An automatic fermented grains scooping strategy for the compound robot for fermented grains scooping was proposed. Based on the pre-processing of the ground-pot image and the reconstruction of the point cloud inside the inner edge, the point cloud segmentation algorithm was used to extract the point cloud of fermented grains. The scooping plane was constructed. The safe working distance for scooping was solved. Preset scooping points were set. Afterwards, the scooping …
Paddy-Brown Rice Boundary Detection Method Based On Machine Vision, Liu Hao, Fan Jijun, Yu Nanhui, Liu Xiaopeng, Zhou Jin, Mou Yi
Paddy-Brown Rice Boundary Detection Method Based On Machine Vision, Liu Hao, Fan Jijun, Yu Nanhui, Liu Xiaopeng, Zhou Jin, Mou Yi
Food and Machinery
Objective: To detect and locate the boundary line between paddy and brown rice in separation equipment. Methods: A method based on straight-line edge detection was proposed by performing model matching with different color features. Converted the resulting images to grayscale and applied the linear edge detection algorithm to locate the target position. Results: Our approach reduced the error to within 5% and significantly improved recognition accuracy compared to traditional methods. Conclusion: Proposed method has a small recognition error, making it suitable for identifying the boundary between paddy and brown rice.
Tomato Surface Defect Detection Method Based On Image Local Variance Considering Brightness Correction, He Tingting, Yao Jichao, Zhang Zhonglili, Lu Tiangang, Yue Huanfang
Tomato Surface Defect Detection Method Based On Image Local Variance Considering Brightness Correction, He Tingting, Yao Jichao, Zhang Zhonglili, Lu Tiangang, Yue Huanfang
Food and Machinery
Objective: In order to solve the problem of inaccurate defect extraction caused by complex and variable color and irregular texture changes of tomato surface defects, the defect segmentation method based on image local variance with brightness correction was proposed. Methods: On the basis of using histogram threshold segmentation method to segment calyx and stem scar and the method of domain pixel weighted sum to replace the original pixel to complete the brightness correction, the gray image of tomato surface was divided into several image blocks, and the color of each block was characterized by image pixel variance, and then the …
Research Progress Of Food Packaging Defect Detection Based On Machine Vision, Ge Minghui, Zhang Jun, Lu Huijuan
Research Progress Of Food Packaging Defect Detection Based On Machine Vision, Ge Minghui, Zhang Jun, Lu Huijuan
Food and Machinery
Food packaging can develop defects during the production process due to various factors. The types of packaging defects are numerous with complex background. Machine vision detection, which uses visual imaging and computer information processing to complete tasks such as identification, detection, and measurement of packaging, has faster execution speed and higher accuracy compared to traditional manual inspection. This can significantly improve the degree of production automation. This article analyzes the common defects in food packaging and their causes, introduces traditional machine vision detection algorithms, and explores the research application of deep learning algorithms in food packaging defect detection. It also …
Dragon Fruit Weight Estimation Based On Machine Vision And Machine Learning, Liang Ying-Kai, Shang Feng-Nan, Chen Qiao, Xiao Ming-Wei, Luo Chen-Di, Li Wen-Tao, Zhou Xue-Cheng
Dragon Fruit Weight Estimation Based On Machine Vision And Machine Learning, Liang Ying-Kai, Shang Feng-Nan, Chen Qiao, Xiao Ming-Wei, Luo Chen-Di, Li Wen-Tao, Zhou Xue-Cheng
Food and Machinery
Objective: In order to solve the problem of manual weighting of dragon fruit, including time-consuming, laborious and expensive, an automated weight estimation method based on machine vision and machine learning was proposed in this research. Methods: Firstly, 106 dragon fruits were weighed, recorded and photographed, and images of dragon fruits were constructed. Secondly, binary images were obtained after denoising and segmentation. Moreover, the three features of pixel area, major axis pixel length and minor axis pixel length of dragon fruits were extracted on the basis of binary images. The three features of each image and their corresponding weights were combined …
Design Of Fruit Grading System Based On Machine Vision, Liu Jia-Hao, Gao Jun-Wei, Zhang Bing-Xing, Wang Jian-Chong
Design Of Fruit Grading System Based On Machine Vision, Liu Jia-Hao, Gao Jun-Wei, Zhang Bing-Xing, Wang Jian-Chong
Food and Machinery
Objective: In order to solve the problems of low efficiency and high false detection rate of current fruit classification detection methods, a fruit classification system based on machine vision was designed with apples as the sorting object. Methods: The apple image collected in real time was preprocessed, the improved Canny edge detection algorithm was used to extract the edge, and the radius of the apple cross-section was obtained by fitting the edge coordinates with the minimum peripheral circle method. The acquired RGB image was converted to HSI image, and the proportion of red region is calculated according to the range …
Method For Detecting Texture Defect Of Vacuum Seal Of Transparent Packaging Bag Based On Machine Vision, Zhang Bao-Sheng, Zhou Cong-Ling, Wang Yong-Qiang
Method For Detecting Texture Defect Of Vacuum Seal Of Transparent Packaging Bag Based On Machine Vision, Zhang Bao-Sheng, Zhou Cong-Ling, Wang Yong-Qiang
Food and Machinery
Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability. Methods: In this paper, a machine vision-based vacuum sealed texture detecting method for transparent packaging bag was proposed to replace manual detection. The image was preprocessed by algorithms such as ROI extraction, affine transformation and local binary pattern to highlight the texture features. On this basis, the gray level co-occurrence matrix was used to analyze the features of "good" and "defective" …
Fast Recognition Method For Betel Nut In Dense Environments Based On Improved Yolo, Dai Yun, Lu Ming, He Ting, Peng Cheng-Wu
Fast Recognition Method For Betel Nut In Dense Environments Based On Improved Yolo, Dai Yun, Lu Ming, He Ting, Peng Cheng-Wu
Food and Machinery
Objective: This paper aimed to improve the accuracy of identification of small individual betel nuts and the degree of automation of betel nut processing plant by combining with deep learning. Methods: In this study, a novel feature extraction network named Mob-darknet-52 was proposed to construct a method of betel nut location and recognition based on improved YOLO algorithm by using multi-scale detection size. Results: the test showed that the proposed method had a detection accuracy of 94.8%, an accuracy rate of 94.5%, a recall rate of 95.1%, and a detection time of 6.679 ms in betel nut classification. Conclusion: The …
Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian
Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian
Food and Machinery
Objective: Reduce the manufacturing cost of automated mango grading equipment. Methods: The effects of three commonly detection algorithms for mango defect detection were compared, and a defect detection algorithm based on YOLOv5 for mango surface was proposed for the light weight design to work on mobile devices. Results: Compared with the original algorithm, the experimental algorithm can reduce the number of parameters by 45.9%, the number of floating point operations by 46.7%, and the weight file size by 45.2% under the premise of meeting the requirements for mango surface defect detection. Conclusion: the experimental algorithm effectively reduces the performance requirements …
Research Status And Prospect Of Pretreatment Equipment And Technology For Freshwater Fish, Chen Lang, Wu Wen-Jin, Chen Sheng, Shi Liu, Guo Xiao-Jia, Wang Lan
Research Status And Prospect Of Pretreatment Equipment And Technology For Freshwater Fish, Chen Lang, Wu Wen-Jin, Chen Sheng, Shi Liu, Guo Xiao-Jia, Wang Lan
Food and Machinery
The current situation of the development of freshwater fish pretreatment processing industry and development level of freshwater fish pretreatment equipment were briefly described in this manuscript. The development history of mechanical for freshwater fish pretreatment was reviewed. Based on the processing technology of freshwater fish, combining the processing needs of different freshwater fish and freshwater fish products, the main structure composition form and operation mode of existing freshwater fish pretreatment was summarized. The current cutting-edge technology of existing visual recognition and automatic monitoring practical applications in domestic and foreign were included. The research direction combined with China's national conditions of …
Research On Pre-Packaged Food Detection Based On Machine Vision, Wen-Xiu Li, Qiu-Ping Luan
Research On Pre-Packaged Food Detection Based On Machine Vision, Wen-Xiu Li, Qiu-Ping Luan
Food and Machinery
In order to improve the detection accuracy of pre-packaged food, a defect detection system based on machine vision was designed. The detection system mainly includes image acquisition module, image processing and analysis module, output execution module and so on. The image processing method was described in detail. The image denoising model based on partial differential equation was used. The defect region was segmented by double threshold segmentation method. Finally, BP neural network was used to classify defects according to circumference, area and roundness. The feasibility and effectiveness of the method ware verified by experiments. The experimental results show that the …
An Online Visual Detection And Identification Method For The Defective Of Qinqinchang, Dang Guo-Hui, Wang Yong-Qiang, Zhou Cong-Ling
An Online Visual Detection And Identification Method For The Defective Of Qinqinchang, Dang Guo-Hui, Wang Yong-Qiang, Zhou Cong-Ling
Food and Machinery
Objective: This study aimed to study the automatic detection method of common appearance defects in the production process of Qinqinchang. Methods: CMOS camera was used to obtain the image information of the product online, and image processing technology was used to extract the appearance defect features of the product and analyze the types of defects. Results: The accuracy rate of the online detection method for the common appearance defects of kissing intestines was 97.2%. Conclusion: The method is simple and has broad application prospect.
Online Detection And Grading System For Citrus Full-Surface Color, Li Lang, Wen Tao, Dai Xing-Yong, Wang Zhi-Yu
Online Detection And Grading System For Citrus Full-Surface Color, Li Lang, Wen Tao, Dai Xing-Yong, Wang Zhi-Yu
Food and Machinery
Objective: This study aimed to realize the fast and accurate sorting of citrus color. Methods: An online color detection and grading system of citrus based on machine vision was designed in this study. The system is composed of feeding unit, chain conveying mechanism, image acquisition system and fruit dividing unit. The industrial camera which was combined with the rolling mechanism was used to uniformly capture 50~60 frames of images for obtaining the complete surface information of citrus. The non-destructive testing software preprocessed each frame of images acquired in real time to obtain the two-dimensional coloring ratio, which is …
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision, Xiang Yu-Hang, Zhou Cong-Ling, Wang Yong-Qiang
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision, Xiang Yu-Hang, Zhou Cong-Ling, Wang Yong-Qiang
Food and Machinery
Objective: To solve the problem of appearance defects of Baoyu-flavor-slices, such as edge damage, internal porosity and uneven wrapper thickness in the production process. Methods: An on-line detection method based on machine vision was proposed. The Baoyu-Flavor-Slices were arranged into a single layer array by mechanical carding device. After image acquisition, image segmentation, gray value stretching and contour edge extraction were selected for image processing. Edge damage detection was completed by using the feature of outer contour roundness, abnormal wrapper thickness detection was accomplished by measuring wrapper thickness, by calculating the porosity area, the porosity detection was completed. …
Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng
Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng
Food and Machinery
Objective: Real-time monitoring of the grinding roller distance of the pulverizer. Methods: CCD industrial camera was used to collect the rolling distance image, threshold segmentation and morphology were used to preprocess the gray image, and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points, and finally the rolling distance of the mill was calculated. The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring. Results: The data fluctuation range of the online monitoring system was …
Tomato Weight Prediction Based On Image Processing, He Ting-Ting, Li Zhi-Wei, Zhang Xin, Zhang Zhong-Li-Li, Xiao Xue-Peng, Dong Jing
Tomato Weight Prediction Based On Image Processing, He Ting-Ting, Li Zhi-Wei, Zhang Xin, Zhang Zhong-Li-Li, Xiao Xue-Peng, Dong Jing
Food and Machinery
Objective：A tomato weight detection method based on image processing was established to realize non-contact tomato weight detection. Methods：The binary image of tomato was obtained through image processing. The geometric features of tomato were extracted by pixel statistics and minimum circumscribed rectangle method, and correlation analysis was made between the characteristics and the real value of tomato weight, then the regression model of tomato weight detection with geometric features as parameters was established. Results：Compared with the real size of tomato, the measurement error of transverse and longitudinal diameter of Tomato by minimum external rectangle method was less than …
Design Of On-Line Nondestructive Rapid Detection System For Tilapia Descaling Rate Based On Machine Vision, Li Pengpeng, Li Yule, Zeng Fanyi, Liu Yang, Zhang Xu, Wang Huihui
Design Of On-Line Nondestructive Rapid Detection System For Tilapia Descaling Rate Based On Machine Vision, Li Pengpeng, Li Yule, Zeng Fanyi, Liu Yang, Zhang Xu, Wang Huihui
Food and Machinery
Objective:Improve the quality and efficiency of tilapia processing and increase the added value of products.Methods:For the fluorescence response difference of fish scales and fish skin under ultraviolet excitation, a rapid detection system for tilapia descaling rate based on machine vision technology was constructed. After image pre-processing, background segmentation, ROI region selection, and rapid identification of discaled areas, the scaled and descaled area images were obtained. Then the scaling rate was calculated and the detection accuracy of the system was tested. Results:The accuracy of the system scaling rate detection ranged from 90.18% to 94.14%.Conclusion:The automatic …
Design And Implementation Of Self-Adaptive Head Cutting Machine For Catfish, Li Chen-Yang, Shan Hui-Yong, Zhang Cheng-Hao, Tian Yun-Chen, Wei Yong
Design And Implementation Of Self-Adaptive Head Cutting Machine For Catfish, Li Chen-Yang, Shan Hui-Yong, Zhang Cheng-Hao, Tian Yun-Chen, Wei Yong
Food and Machinery
Objective: In order to improve the mechanization and automation level of catfish head cutting. Methods: Through the study on the shape parameters and friction characteristics of catfish, the related parameters of catfish were obtained. Based on the machine vision technology to identify the assembly line fish, the end of the fish skull was defined as the fish head cutting track line, and an adaptive adjustment device was designed to adjust the position of the fish body, so that the disc cutter can avoid the skull for head removal. The GUI was designed in order to achieve visual control. …
Design Of Thermal Defect Detection System For Food Storage Room Based On Robotic Arm, Ma Zhi-Yan, Li Ao-Xiang, Duan Yu-Fei, Li Jiang-Hua
Design Of Thermal Defect Detection System For Food Storage Room Based On Robotic Arm, Ma Zhi-Yan, Li Ao-Xiang, Duan Yu-Fei, Li Jiang-Hua
Food and Machinery
Objective:To improve the defect detection efficiency of the enclosure structure of food storage devices.Methods:A robotic arm inspection trolley based on host computer control was proposed. The acquisition path was planned according to the area of the enclosure structure. The improved Ostu image segmentation method was used to analyze the acquired thermal infrared images and output the "defect" parts. Size and position coordinates, and finally verify the effectiveness of the detection through the defect detection rate and false detection rate.Results: The detection mechanism can completely scan and collect thermal infrared images of the enclosure structure of food …
Design And Implementation Of Small Color Recognition System For Beverage Bottle Caps, Deng San-Xing, Sun Sai-Wei, Yang Meng-Meng, Zhang Kai, Li Shuai
Design And Implementation Of Small Color Recognition System For Beverage Bottle Caps, Deng San-Xing, Sun Sai-Wei, Yang Meng-Meng, Zhang Kai, Li Shuai
Food and Machinery
Objective:This study focus on solving the problems that the current beverage bottle cap detection system has simple functions, large volume and low color recognition rate.Methods:A design scheme of small beverage bottle cap color recognition system based on ARM processor was proposed. By using the LineSim tool of the simulation software HyperLynx, a four-layer PCB board was designed and impedance matching simulation analysis was obtained after setting transmission line parameters. Through using the compilation software Jupyter Notebook to achieve threshold setting, target contour detection, target frame out and other functions.Results:Under bright and low light conditions, the …
Intelligent Sorting Equipment And System Design Of Seafood, Jin Zong-Yi, Tao Xue-Heng, Jin Yan, Feng Yi-Ran, Wang Hui-Hui, Zhang Xu
Intelligent Sorting Equipment And System Design Of Seafood, Jin Zong-Yi, Tao Xue-Heng, Jin Yan, Feng Yi-Ran, Wang Hui-Hui, Zhang Xu
Food and Machinery
Objective:Aiming at the present situation of low efficiency, low accuracy and high cost in the sorting and processing of fishery industry in China, the intelligent sorting equipment and system of seafood based on robot was developed.Methods:Using the combination of intelligent robot and traditional machinery to develop a new mechanical structure to classify seafood, an intelligent recognition technology based on machine vision was used to classify seafood (the improved novel Faster R-CNN algorithm was adopted for seafood), and an equipment system that could automatically sort seafood intelligently, efficiently was constructed.Results:The improved novel Faster R-CNN algorithm has …
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Food and Machinery
Objective:To explore the application ability of machine vision and electronic nose fusion method in fruit and vegetable maturity detection, and realize the detection of different maturity of tomato.Methods:Based on machine vision and electronic nose acquisition system, a tomato maturity detection method based on multi-source information fusion was proposed. Based on 6 color features screened by machine vision and 10 odor features screened by electronic nose, the least squares support vector machine model for tomato maturity detection was established. The feasibility of this method is verified by comparing the fusion method with single method.Results:Compared with the …
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Food and Machinery
Objective:A BP neural network model was established to accurately determine the maturity of dough fermentation.Methods:Used machine vision technology to collect and process the pictures of bread fermentation process, obtained the quantitative information of the pictures, and a prediction model was established for bread fermentation degree based on BP neural network. Taking the time, area, instantaneous velocity, expansion rate, gray value energy, gray value relationship, gray value uniformity and gray value contrast as the input neurons, the regression model of relevant parameters was established.Results:The correlation between the above characteristic parameters and the fermentation process of bread …
Prediction Method Of Banana Pulp Defect By Machine Vision, Zhang Zheng, Xiong Sheng-Hui, Wang Sun-Qiang, Hu Ling-Hui
Prediction Method Of Banana Pulp Defect By Machine Vision, Zhang Zheng, Xiong Sheng-Hui, Wang Sun-Qiang, Hu Ling-Hui
Food and Machinery
In view of the problem that it is difficult to predict the inner pulp defect of banana, the machine vision technology is employed to recognize the image of banana peel and pulp, and then fits the recognition parameters to get the prediction model of pulp defect. The collected image, grayed and filtered, is recognized by double threshold and morphological analysis to extract banana peel, banana pulp, banana peel black spot and banana pulp defect. Thereafter, the total number of pixels in the extracted region is calculated, and the total number of pixels is taken as the area of the region. …