Open AccessDETECTING THE TEXTURE FOR MOBILE IMAGE BY USING PROPOSED TECHNIQUE
Author(s) -
Anaam Kadhim Hadi
Publication year - 2021
Publication title -
minar international journal of applied sciences and technology
Language(s) - English
Resource type - Journals
ISSN - 2717-8234
DOI - 10.47832/2717-8234.3-3.15
Subject(s) - sobel operator , artificial intelligence , computer vision , canny edge detector , computer science , image gradient , image texture , texture (cosmology) , filter (signal processing) , texture filtering , image (mathematics) , pattern recognition (psychology) , edge detection , mathematics , image processing
In this proposed search, a new technique was applied as an attempt to detect texture and the edges of a test image for mobile, lines drawn on a draft paper. Then was applied traditional spatial filters such as Sobel and Canny, comparison between them, and proposed method to detect the line edge and texture for the same image were applied. The results were that the detection method using the Canny filter showed more visual information and better accuracy than the Sobel spatial filter method, and when using the proposed technique, it gaves more information about the texture of the paper and more accurate results than the Canny filter, which was unable to detect the texture of the image.