Open AccessColor Image Segmentation without any Information Loss
Author(s) -
Mohammad Obaidul Haque,
Rakesh Ahuja,
Sachin Ahuja
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1059.109119
Subject(s) - artificial intelligence , grayscale , computer vision , image segmentation , range segmentation , region growing , scale space segmentation , computer science , segmentation , segmentation based object categorization , minimum spanning tree based segmentation , pixel , image texture , color image , morphological gradient , pattern recognition (psychology) , image (mathematics) , binary image , image processing
We can partition the background from foreground and locate the objects of interest using image segmentation techniques. In other words we can say image segmentation is the process of grouping adjacent pixels in to segments. In this research we proposed a model which can differentiate maximum and minimum frequencies for both color and grayscale images without any information loss. After getting the result of both images, we will check which (gray scale image or color image) gives better performance to the image segmentation techniques. So, here we will take the two techniques edge detection and threshold. This research gives better result of segmentation by using the relationship discontinuous and similar pixel values.