ANALYSIS OF SOBEL EDGE DETECTION AND CANNY EDGE DETECTION FOR FEATURE EXTRACTION IN MEDICAL IMAGE RETRIEVAL

Abstract

Content based image retrieval system plays an important role in performing diagnostic image analysis. Edge detection is a basic tool used in image processing, fundamentally for feature detection and extraction, which aims to discover points in a digital image where brightness of image changes sharply and finds discontinuities. Edge detection methods transform original images into edge images remuneration from the changes of grey tones in the image. The purpose of edge detection is in reducing the amount of data in an image and in conserving the structural properties for advance image processing. In this research paper, we discuss how two edge detection algorithms - that is Canny edge detection and Sobel edge detection algorithms are used to extract edges from MRI images. Performance factors are analyzed namely correctness and speed that help us to locate which algorithm works better.