ANALYSIS OF IMAGE SEGMENTATION TECHNIQUES FOR TEXTURE FEATURE EXTRACTION
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 6)Publication Date: 2017-06-30
Authors : G.Ravindran; T.Joby Titus; V.Ganesh; V.S.Sanjana Devi;
Page : 66-71
Keywords : Feature Extraction; Fuzzy C Means; K means; Watershed segmentation;
Abstract
The pixels of an image are grouped into several regions for segmentation. In segmentation technique the texture feature parameter is an image analysis technique in the field of Computer vision. In the Segmentation field, there are many techniques are used to segment the images .The proposed approach is to analyze and compare the gray level texture feature techniques, number of clusters, Fuzzy C means, and to find which algorithmic approach provides better results in image segmentation.
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Last modified: 2017-06-06 19:19:14