Advance Shadow Edge Detection and Removal ( ASEDR ) (original) (raw)

Shadow causes problem during the identification of objects from images in various computer vision applications, so it is a very crucial task to remove shadow from images that’s why in this paper a new technique for shadow removal based on Advance Shadow Edge Detection and Removal (ASEDR) method is proposed. After Shadow removal some image parameters (Entropy, Standard Deviation, Peak Signal to Noise Ratio) outcome of both previous Patch based Shadow Edge Detection Method and projected ASEDR method are calculated and compared with each other. The consequences demonstrate that the projected ASEDR method is superior to the previous Patch Based Shadow Edge Detection method. Patch Based Shadow edge detection method was performed on the original image but our ASEDR methodology used the grayscale form of the original image for the purpose of shadow recognition and shadow elimination. In purposed technique the value of entropy is smaller and standard deviation is larger than earlier method ...