Open AccessAlgorithmic Approaches For Image Edge Detection
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/631032021
Subject(s) - edge detection , computer science , enhanced data rates for gsm evolution , computer vision , artificial intelligence , image (mathematics) , image gradient , image processing , image segmentation , multiplication (music) , edge enhancement , feature detection (computer vision) , digital image processing , digital image , code (set theory) , mathematics , combinatorics , set (abstract data type) , programming language
Edge detection is most important technique in digital image processing. It play an important role in image segmentation and many other applications. Edge detection providesfoundation to many medical and military applications.It difficult to generate a generic code for edge detection so many kinds ofalgorithms are available. In this article 4 different approaches Global image enhancement with addition (GIEA), Global image enhancement with Multiplication (GIEM),Without Global image enhancement with Addition (WOGIEA),and without Global image enhancement with Multiplication (WOGIEM)for edge detection is proposed. These algorithms are validatedon 9 different images. The results showthat GIEA give us more accurate results as compare to other techniques.