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1,068 full-text articles. Page 5 of 48.

Brightness Preserving Histogram Equalization (Bphe) Technique For Classification Of Dates, MANICKAVASAGAN. A, GABRIEL THOMAS, R. AL-YAHYAI, HEMA M 2020 Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Al-Khoud, Sultanate of Oman

Brightness Preserving Histogram Equalization (Bphe) Technique For Classification Of Dates, Manickavasagan. A, Gabriel Thomas, R. Al-Yahyai, Hema M

International Journal of Image Processing and Vision Science

Brightness preserving histogram equalization (BPHE) technique was used to enhance the features to discriminate three dates varieties (Khalas, Fard and Madina). Mean, entropy and kurtosis features were computed from the enhanced images and used in an Artificial Neural Network classifier. The classification efficiency of 4 sets of hidden neurons (5, 10, 20, and 30) was tested and the network with 5 neurons yielded the highest classification accuracy of 95.2%.


Design Of Neural Network As Data Flow Model For Image Compression, DANESHWARI I. HATTI, SAVITRI RAJU, MAHENDRA M. DIXIT 2020 Dept of ECE, S.D.M College of Engineering & Technology, Dharwad, India

Design Of Neural Network As Data Flow Model For Image Compression, Daneshwari I. Hatti, Savitri Raju, Mahendra M. Dixit

International Journal of Image Processing and Vision Science

In digital communication bandwidth is essential parameter to be considered. Transmission and storage of images requires lot of memory in order to use bandwidth efficiently neural network and Discrete cosine transform together are used in this paper to compress images. Artificial neural network gives fixed compression ratio for any images results in fixed usage of memory and bandwidth. In this paper multi-layer feedforward neural network has been employed to achieve image compression. The proposed technique divides the original image in to several blocks and applies Discrete Cosine Transform (DCT) to these blocks as a pre-process technique. Quality of image is ...


A Dynamic Watermarking Model For Medical Image Authentication, PRIYA. H. K, ANITHA. S 2020 Dept. of ECE, EWIT, Bangalore, India

A Dynamic Watermarking Model For Medical Image Authentication, Priya. H. K, Anitha. S

International Journal of Image Processing and Vision Science

This paper proposes a dynamic watermarking model for the purpose of medical authentication. While transferring the data through a public network there is jittering or tampering of data. This is a matter of concern as any jitter or tampered data is not desirable in the medical field. It is noted that there is loss of life due to corrupted data received leading to wrong diagnosis. The proposed dynamic model proves that the medical image watermarked with the proposed system provides near lossless original image. Since the watermark is generated dynamically it is unique to the images considered therefore enhances the ...


Gray Color Conversion Using Classification Method, ASHOK KUMAR PATEL, SANJAY KUMAR 2020 Dept. of Electrical Engineering NIT Raipur, India

Gray Color Conversion Using Classification Method, Ashok Kumar Patel, Sanjay Kumar

International Journal of Image Processing and Vision Science

There are various methods of gray conversion of RGB color images. They are calculated by three functions, Grayscale function, the Desaturate function, and the value component of the HSV option of the Decompose function. By converting this method we found the gray color image but when trying the reverse it is not same as actual images. That is due to the function that produces same value for different color and when reversing there is conflict between choosing one of them. Here I want to introduce a function using Classification method that produces different values of gray color for a range ...


Adaptive Coding Techniques To Improve Ber In Ofdm System, RAJESHREE RAUT, PRITI SUBRAMANIUM, KAVITA BRAMAHANKAR 2020 R& D, SRKNEC, Nagpur-13

Adaptive Coding Techniques To Improve Ber In Ofdm System, Rajeshree Raut, Priti Subramanium, Kavita Bramahankar

International Journal of Image Processing and Vision Science

Adaptive modulation and diversity combining represent very important adaptive solutions for the future generations of communication systems. In order to improve the performance and the efficiency of wireless communication systems these two techniques have been recently used jointly in new schemes named joint adaptive modulation and diversity combining .The highest spectral efficiency with the lowest possible combining complexity, given the fading channel conditions and the required error rate performance. Increase the spectral efficiency with a slight increase in the average number of combined path for the low signal to noise ratio (SNR) range while maintaining compliance with the bit error ...


Marker Controlled Watershed Segmentation Using Bit-Plane Slicing, M. SIVAGAMI, T. REVATHI 2020 School of Computer Science, VIT University, Chennai, India

Marker Controlled Watershed Segmentation Using Bit-Plane Slicing, M. Sivagami, T. Revathi

International Journal of Image Processing and Vision Science

Image segmentation is the basis for computer vision and object recognition. Watershed transform is one of the common methods used for region based segmentation. The previous watershed methods results in over segmentation. In this paper we present a novel method for efficient image segmentation by using bit-plane slicing and marker-controlled watershed. Bit-Plane slicing method produces the sliced image by taking the most significant bit of the image as the input to the bit-plane slicing algorithm. The output of the Bit-Plane slicing algorithm is used to produce the gradient image .The watershed segmentation algorithm is applied to the average of the ...


Correcting False Segmentation In Video Using Image Over-Segmentation, SHAILAJA SURKUTLAWAR SURKUTLAWAR, RAMESH K KULKARNI 2020 EXTCVivekananda education society of information technology, Mumbai, India

Correcting False Segmentation In Video Using Image Over-Segmentation, Shailaja Surkutlawar Surkutlawar, Ramesh K Kulkarni

International Journal of Image Processing and Vision Science

Moving objects detection is a fundamental step in many vision based applications. Background subtraction is the typical method. When scene exhibits pertinent dynamism method based on mixture of Gaussians is a good balance between accuracy and complexity, but fails due to two kinds of false segmentations i.e moving shadows incorrectly detected as objects and some actual moving objects not detected as moving objects. In computer vision, segmentation refers to process of partitioning a digital image in to multiple segments and goal of segmentation is to simplify and/or change representation of image in to something that is more meaningful ...


Humanoid Locomotion Manipulated Using Dynamic Finger Gestures, Hari Krishnan R, Vallikannu A. L A. L. 2020 Department of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, Hindustan University, Chennai, India

Humanoid Locomotion Manipulated Using Dynamic Finger Gestures, Hari Krishnan R, Vallikannu A. L A. L.

International Journal of Image Processing and Vision Science

The fundamental technologies for Human-Computer Interaction are Hand motion tracking and Gesture Identification. The same technology has been adapted for Human-Robot Interaction. This paper discusses a natural methodology for Human-Robot Interaction. In the proposed system, the accelerometers at the fingers, tracks specific gestures. These gestures are identified by the controller, which in turn controls the actuators that results in Humanoid walking. The Humanoid under consideration has 8 Degrees of Freedom.


Scene Understanding Using Back Propagation By Neural Network, ARTI TIWARI, JAGVIR VERMA 2020 Department of Elex & Telecomm. Engg.Chouksey Engg. College,Bilaspur

Scene Understanding Using Back Propagation By Neural Network, Arti Tiwari, Jagvir Verma

International Journal of Image Processing and Vision Science

In this paper, we proposed an efficient method to address the problem of scene understanding that is based on neural network (NN) and image segmentation. We utilized a multilayer perceptron (MLP) to train the network and features are extracted using pixels in the RGB color space. In this work, object samples in images with varying lighting conditions are used to obtain a wide object color distribution. The training data is generated from positive and negative training patterns in the color planes. Subsequently, training set is fed to an MLP, trained by the back propagation algorithm using these object samples. We ...


A Comparative Study Of Image Filtering On Various Noisy Pixels, SONALI R. MAHAKALE, NILESHSINGH V. THAKUR 2020 Dept. of Computer Science & Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur.

A Comparative Study Of Image Filtering On Various Noisy Pixels, Sonali R. Mahakale, Nileshsingh V. Thakur

International Journal of Image Processing and Vision Science

This paper deals with the comparative study of research work done in the field of Image Filtering. Different noises can affect the image in different ways. Although various solutions are available for denoising them, a detail study of the research is required in order to design a filter which will fulfill the desire aspects along with handling most of the image filtering issues. An output image should be judged on the basis of Image Quality Metrics for ex-: Peak-Signal-to-Noise ratio (PSNR), Mean Squared Error (MSE) and Mean Absolute Error (MAE) and Execution Time.


An Overview Of Image Segmentation Algorithms, PUSHPAJIT A.KHAIRE, NILESHSINGH V. THAKUR 2020 Department of Computer Science & Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur

An Overview Of Image Segmentation Algorithms, Pushpajit A.Khaire, Nileshsingh V. Thakur

International Journal of Image Processing and Vision Science

Image segmentation is a puzzled problem even after four decades of research. Research on image segmentation is currently conducted in three levels. Development of image segmentation methods, evaluation of segmentation algorithms and performance and study of these evaluation methods. Hundreds of techniques have been proposed for segmentation of natural images, noisy images, medical images etc. Currently most of the researchers are evaluating the segmentation algorithms using ground truth evaluation of (Berkeley segmentation database) BSD images. In this paper an overview of various segmentation algorithms is discussed. The discussion is mainly based on the soft computing approaches used for segmentation of ...


An Approach To Image Compression And Encryption, ABDUL RAZZAQUE, NILESHSINGH V. THAKUR 2020 Department of Computer Science & Engineering, RCOEM, Nagpur INDIA

An Approach To Image Compression And Encryption, Abdul Razzaque, Nileshsingh V. Thakur

International Journal of Image Processing and Vision Science

Image compression scheme proposed by researchers have no consideration of security. Similarly image encryption scheme proposed by the authors have no consideration of image size. In this paper a simultaneous image compression and encryption scheme is discussed. The order of the two processes viz. compression and encryption is EC i.e. image encryption is performed first then the image compression is applied. For image encryption a symmetric key cryptography multiplicative cipher is used. Similarly for compression Discrete Cosine Transform is used. Image Compression is concerned with minimizing the number of bit required to represent an image. The compression can be ...


An Algorithm To Analyze Strength Of Captcha, AJINKYA KASHINATH PARBHANE, ANAJALI . A. CHANDAVALE, A. M. SAPKAL 2020 Dept. of Information Technology, MAEER’s MIT, Pune, India

An Algorithm To Analyze Strength Of Captcha, Ajinkya Kashinath Parbhane, Anajali . A. Chandavale, A. M. Sapkal

International Journal of Image Processing and Vision Science

CAPTCHA stands for Completely Automated Public Turing Tests to Tell Computers and Humans Apart. The CAPTCHAs have been widely used across the Internet to defend against undesirable and malicious bot programs. It was observed that an alarming number of CAPTCHAs could be broken by the technique of Image Processing and Artificial Neural Network. Many Researchers have tried to break a CAPTCHA so as to design robust CAPTCHA , but it is essential to generate a strong CAPTCHA that will resist bot attack. This paper has proposed algorithm to analyze the strength of CAPTCHAs using simple image processing techniques such as Preprocessing ...


Design And Implementation Of A Simplified Humanoid Robot With 8 Dof, Hari Krishnan R, Vallikannu A. L A. L. 2020 Department of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, Hindustan University, Chennai, India

Design And Implementation Of A Simplified Humanoid Robot With 8 Dof, Hari Krishnan R, Vallikannu A. L A. L.

International Journal of Image Processing and Vision Science

This paper discusses a simplified design of Humanoid Robot with 8 DOF. The main objective is to analyze the theoretical and practical challenges involved in making it. The paper emphasis on bringing down the control complexity by reducing the number of actuators used . This in turn simplifies the entire design processes and reduces the production cost. It also describes the stability issues and different walking phases in detail. The proposed robot finds the place in between simple, miniaturized humanoids and the most advanced, sophisticated humanoids.


Face Recognition In Eigen Domain With Neuro-Fuzzy Classifier And Evolutionary Optimization, PRASANTH. R. S, SARITHA. R 2020 Department of computer science, College of engineering Trivandrum, Trivandrum, Kerala, India

Face Recognition In Eigen Domain With Neuro-Fuzzy Classifier And Evolutionary Optimization, Prasanth. R. S, Saritha. R

International Journal of Image Processing and Vision Science

Face Recognition is a nascent field of research with many challenges. The proposed system focuses on recognizing faces in a faster and more accurate way using eigenface approach and genetic algorithm by considering the entire problem as an optimization problem. It consists of two stages: Eigenface approach is used for feature extraction and genetic algorithm based feed forward Neuro-Fuzzy System is used for face recognition. Classification of face images to a particular class is done using an artificial neural network. The training of neural network is done using genetic algorithm, a machine learning approach which optimizes the weights used in ...


Texture Classification Using Weighted Probabilistic Neural Networks, M. KIRANMAYEE, M. SUBBARAO 2020 Dept. of Information Technology, AITS, Rajampet, A.P

Texture Classification Using Weighted Probabilistic Neural Networks, M. Kiranmayee, M. Subbarao

International Journal of Image Processing and Vision Science

Texture classification is basically the problem of classifying pixels in an image according to their textural cues. This is different from conventional image segmentation as the texture is characterized using both the gray value for a given pixel and gray-level pattern in the neighborhood surrounding the pixel. In this project, the novel temporal updating approach is developed for weighted probabilistic neural network (WPNN) classifiers that can be used to classify the textures. This is done by utilizing the temporal contextual information and adjusting the WPNN to adapt to such changes. Whenever a new set of images arrives, an initial classification ...


Mail Sorter Using Labview, A. NIKHILA, NISHA A NAIR, KUMUDA S., PREETHI K. MANE 2020 BMS College of Engineering, Bangalore-19, India

Mail Sorter Using Labview, A. Nikhila, Nisha A Nair, Kumuda S., Preethi K. Mane

International Journal of Image Processing and Vision Science

The Indian postal system is the largest networks in the world. Being the 7th largest country in the world, major population of the country is rural based, where the basic amenities of life is a sweet dream. In such a scenario, having an efficient mail delivery system is essential. Hence, to eliminate the drawbacks in other processes, we propose to fully automate the sorting process. Unlike the code generation technique, it neither requires any human intervention to generate a code based on the pin code nor will be a problem in case of absence of the pin code. The principle ...


Study And Analysis Of Statistical Features Of Face Expression In Noisy Environment, kanchan Kashyap, SANJIVANI SHANTAIYA 2020 DIMAT, Raipur

Study And Analysis Of Statistical Features Of Face Expression In Noisy Environment, Kanchan Kashyap, Sanjivani Shantaiya

International Journal of Image Processing and Vision Science

This paper presents a new approach for the recognition of emotions in noisy environment. The approach presents the cascading of Wiener filter and Mutation based bacteria optimization technique (MBFO) to remove the noise from the highly corrupted face image .After removing the noise by the combination of wiener filter and MBFO technique and then detects the local , global and statistical feature form the image. Bacterial foraging optimization algorithm (BFOA) is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application ...


Constant Time Scanning And Better Edge Preservation For Better Performing And Quality Of Median Filter, RITWIK SHARMA, SHUBHAM HARNAL 2020 School of Science and Technology, IGNOU-I2IT Center of Excellence, Pune, India

Constant Time Scanning And Better Edge Preservation For Better Performing And Quality Of Median Filter, Ritwik Sharma, Shubham Harnal

International Journal of Image Processing and Vision Science

The median filter is an important filter in many image processing algorithms and especially in removal of salt and pepper noise. Traditional median filters either focus on improving the performance or the quality of the median filtering. Generally, the methods which optimize performance do so at the cost of quality and vice-versa. In this paper a novel approach to median filtering is presented providing both better performance and quality without sacrificing either. The analysis is presented with respect to image processing and the results obtained are presented in tabular form.


Unrestrained Measurement Of Arm Motion Based On A Wearable Wireless Sensor Network, SREENIVASULU SAMADHI, N. SUBBARAO 2020 QUBA College of Engineering & Technology Venkatachalam Nellore

Unrestrained Measurement Of Arm Motion Based On A Wearable Wireless Sensor Network, Sreenivasulu Samadhi, N. Subbarao

International Journal of Image Processing and Vision Science

Techniques that could precisely monitor human motion are useful in applications such as rehabilitation, virtual reality, sports science, and surveillance. Most of the existing systems require wiring that restrains the natural movement. To overcome this limitation, a wearable wireless sensor network using accelerometers has been developed in this paper to determine the arm motion in the sagittal plane. The system provides unrestrained movements and improves its usability. The lightweight and compact size of the developed sensor node makes its attachment to the limb easy. Experimental results have shown that the system has good accuracy and response rate when compared with ...


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