A Survey of Image Processing and Identification Techniques

EOI: 10.11242/viva-tech.01.01.10

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Sahil V. Khedaskar, Mohit A. Rokade, Bhargav R. Patil, Tatwadarshi P. N., "A Survey of Image Processing and Identification Techniques", VIVA-Tech IJRI Volume 1, Issue 1, Article 10, pp. 1-10, Oct 2018. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.


Image processing is always an interesting field as it gives enhanced visual data for human simplification and processing of image data for transmission and illustration for machine preception. Digital images are processed to give better solution using image processing. Techniques such as Gray scale conversion, Image segmentation, Edge detection, Feature Extraction, Classification are used in image processing. In this paper studies of different image processing techniques and its methods has been conducted. Image segmentation is the initial step in many image processing functions like Pattern recognition and image analysis which convert an image into binary form and divide it into different regions. The technique used for segmentation is Otsu’s method, K-means Clustering etc. For feature extraction feature vector in visual image is texture, shape and color. Edge detector with morphological operator enhances the clarity of image and noise free images. This paper also gives information about algorithm like Artificial Neural Network and Support Vector Mechanism used for image classification. The image is categorized into the receptive class by an ANN and SVM is used to compile all the categorized result. Overall the paper gives detail knowledge about the techniques used for image processing and identification.


Extraction, Segmentation, Otsu’s method, K-means, Edge detection, ANN, SVM, Active Shape model(ASM), GLCM, SIFT, Genetic algorithm, BIM, RGB Colour, BIM, Vein algorithm.


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