Survey on various Image Segmentation Techniques
K. Deepa · Journal of Emerging Technologies and Innovative Research · 2017
Abstract The computer vision, image segmentation is the process of partitioning a digital image into multiple sections. That is more important and easier to examine. It is used to identify objects and background in images. It is the process of assigning a label to every pixel. Those pixels with the same label share certain visual properties. It is a signal processing tool. This is widely employed in many applications including object-based coding, object tracking, object detection, image retrieval, and clinical organ or tissue identification. That is, critically analyzed various segmentation techniques. Such as Thresholding, Edge based segmentation, Color based segmentation, and Region based segmentation and also covered image segmentation. This study is helpful for an appropriate use of existing evaluation methods. Then improving their performance as well as for systematically designing new evaluation methods. Index Terms— Image processing, Segmentation, Partial Differential Equations