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IJSTR >> Volume 8 - Issue 11, November 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Image Segmentation Using Convolutional Neural Network

[Full Text]



Ravi Kaushik, Shailender Kumar



Computer Vision, Convolution Neural Networks, Deep Learning, Edge Detection Models, Fully Connected Layer, Image Segmentation, Max Pooling.



Identifying regions in an image and labeling them to different classes is called image segmentation. Automatic image segmentation has been one of the major research areas, which is in trend nowadays. Every other day a new model is being discovered to do better image segmentation for the task of computer vision. Computer vision is making human’s life easier by automating the tasks which humans used to do manually. In this survey we are comparing various image segmentation techniques and after comparing them with each other we have explained the merits and demerits of each technique in detail. Detailed analysis of each methodology is done on the basis of various parameters, which are used to provide a comparison among different methods discussed in our work. Our focus is on the techniques which can be optimized and made better than the one which are present before. This survey emphasizes on the importance of applications of image segmentation techniques and to make them more useful for the mankind in daily life. It will enable to us to take full benefits of this technology in monitoring of the time consuming repetitive activities occurring around, as doing such tasks manually can become cumbersome and also increases the possibility of errors.



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