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Full-Text Articles in Computer Engineering
Research On Visual Inspection Algorithm Of Crimping Appearance Defects For Wiring Harness Terminals, Bingan Yuan, Mingen Zhong, Jingxin Ni
Research On Visual Inspection Algorithm Of Crimping Appearance Defects For Wiring Harness Terminals, Bingan Yuan, Mingen Zhong, Jingxin Ni
Journal of System Simulation
Abstract: Aiming at the low efficiency and high missing rate of wiring harness terminals, an image detection method based on machine vision is proposed. The characteristic parameters of five typical defects in three main parts of wiring harness terminals are analyzed and defined. Tthe algorithms of extracting positioning datum, segmenting inspected-parts adaptively, extracting the defect features and calculating the characteristic parameters are designed respectively, and the defects criterions are given. The experimental results show that the algorithms are suitable for single defect and multi-class defects, both the miss detection rate and the false positiveness rate are low. The accuracy and …
Monocular Semantic Slam Method Based On Object Relation Description, Shiqi Lin, Jikai Wang, Haoyuan Pei, Hao Zhao, Zonghai Chen
Monocular Semantic Slam Method Based On Object Relation Description, Shiqi Lin, Jikai Wang, Haoyuan Pei, Hao Zhao, Zonghai Chen
Journal of System Simulation
Abstract: Semantic information perception of the external environment and accurate positioning are the keys to autonomous navigation and operation of mobile robots. This paper proposes a method of semantic simultaneous localization and mapping (SLAM) based on a monocular camera. The system completes three-dimensional (3D) object detection while estimating the trajectory. We model the 3D objects with cuboids. Then, the semantic meanings, color distribution, size and neighborhood topology of the objects are extracted as descriptors for the accurate matching of objects between different frames. The camera pose, map points and object landmarks are optimized jointly in the backend of the system. …
Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li
Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li
Journal of System Simulation
Abstract: Infrared thermal imaging non-destructive testing is one of the commonly used methods for aircraft skin detection. Aiming at Otsu's large computational complexity and poor real-time performance, an aircraft skin infrared image segmentation method based on Otsu and an improved I-Ching divination evolutionary algorithm (IDEA) is proposed. The roulette selection operator is improved by using roulette selection for the I-Ching map of state size 3n, from which the n individuals with the maximum fitness values are then selected as new populations. The experimental results show that the proposed algorithm is superior to several other improved optimization algorithms both in terms …
Color-Texture Image Segmentation Approach Designed By Integrating Geodesic Active Contour Model And Multilayer Graph Cut Model, Yang Yong, Liangren Zheng, Guo Ling, Yangdong Ye
Color-Texture Image Segmentation Approach Designed By Integrating Geodesic Active Contour Model And Multilayer Graph Cut Model, Yang Yong, Liangren Zheng, Guo Ling, Yangdong Ye
Journal of System Simulation
Abstract: An approach of color-texture image segmentation was proposed based on geodesic active contour model and multilayer graph cut model. As the clustering centers were commonly descripted with constant densities, the two phase Chan-vese model was extended to multiphase geodesic active contour model by using the Gaussian distribution to describe the changing density for each phase, and meanwhile the geodesic active contour was added into the proposed model, so that the presented approach could capture out the concave edge. For the minimization of the proposed energy function, a corresponded multilayer graph cut model was designed for resolving global approximated …
Regional Credible Fusion Based Color-Texture Image Segmentation Approach, Yang Yong, Guo Ling, Wenzheng Dai, Yangdong Ye
Regional Credible Fusion Based Color-Texture Image Segmentation Approach, Yang Yong, Guo Ling, Wenzheng Dai, Yangdong Ye
Journal of System Simulation
Abstract: An approach is proposed based on the combined color information and texture information for color-texture image segmentation. The compacted multi-scale texture information is extracted by using singular value decomposition and principal component analysis dimension reduction under decomposing the multi-scale structure tensor, and then it is integrated with scale information and color information for improving the description ability to color-texture. To avoid the phenomenon such as over-segmentation and error segmentation appeared, the regional credible fusion degree is computed by combining four kinds of region information, such as region adjacency relationship, region size, common edge between regions, and J-divergence distance. Meanwhile, …
Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang
Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang
Journal of System Simulation
Abstract: Hair contour extraction has important application in digital entertainment and simulation. An automatic hair contour extraction method for images with complex background was proposed. Image segmentation algorithm from foreground image was used to eliminate the interference of background image; face recognition and hair detection algorithms were employed to find the hair position and realize the automatic identification of the hair; in order to improve the accuracy of contour extraction, adaptive skin detection algorithm was used to eliminate the interference of face. The proposed method was applied on a lot of image examples. Experimental results demonstrate that this method can …
Image Segmentation And Offset Correction Based On Minimal Relative Entropy Theoryand Level Set Method, Xiuqiang Pan, Jinxiao Shan, Caifeng Yang
Image Segmentation And Offset Correction Based On Minimal Relative Entropy Theoryand Level Set Method, Xiuqiang Pan, Jinxiao Shan, Caifeng Yang
Journal of System Simulation
Abstract: The new variational level set method is achieved with the combination of the traditional level set method and the energy function which is established by means of statistical model according to the minimal relative entropy.The new method isappliedto object segmentation and offset correction in intensity heterogeneous image.Object segmentation and offset correction are unified according to the evolution of the level set function, anda deviation estimation function with intrinsic smooth feature is obtained.The results prove that the overlapping areas between different tissues are significantly decreased and more accurate results are achieved. In addition, this model is not …
Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui
Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui
Journal of System Simulation
Abstract: The complexity of noises covers a wide area of actual road images which causes that it is difficult to detect cracks. An automatic pavement crack detection algorithm was proposed in view of the characteristics of crack image in pavement disease. Gray-scale correction and filtering was used to preprocess the crack image. The maximum interclass variance method and Canny operator were used to detect the edge of the disease image, and then the localization and accurate segmentation algorithm was proposed for the crack image based on the maximum connectivity of the crack in the fracture image. The convolution neural network …
Overview Of Image Segmentation And Registration For Spine Biological Modeling, Juping Gu, Tianyu Cheng, Hua Liang, Jianping Wang, Zhao Jian, Cao Yong
Overview Of Image Segmentation And Registration For Spine Biological Modeling, Juping Gu, Tianyu Cheng, Hua Liang, Jianping Wang, Zhao Jian, Cao Yong
Journal of System Simulation
Abstract: The prevalence of common spinal fractures is high in this day. Spinal image segmentation and registration are the key step and prerequisite of target recognition, biomechanical modeling and finite element analysis. They are also the key technology of noninvasive surgery navigation. Aiming at the problems of spinal image processing, the classical medical image segmentation and registration algorithm is introduced. It also analyzes the defects and prospects of the future development trend of spine image processing. The research results have certain significance for further understanding of spinal medical image processing and promoting the development of rehabilitation therapy for spinal fractures.