Research Article
Image Segmentation using Weighted Average Local Histogram
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 64 - Issue 19 |
| Published: February 2013 |
| Authors: Imran Hassan, Abrar Hussain |
10.5120/10745-5598
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Imran Hassan, Abrar Hussain . Image Segmentation using Weighted Average Local Histogram. International Journal of Computer Applications. 64, 19 (February 2013), 37-41. DOI=10.5120/10745-5598
@article{ 10.5120/10745-5598,
author = { Imran Hassan,Abrar Hussain },
title = { Image Segmentation using Weighted Average Local Histogram },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 64 },
number = { 19 },
pages = { 37-41 },
doi = { 10.5120/10745-5598 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Imran Hassan
%A Abrar Hussain
%T Image Segmentation using Weighted Average Local Histogram%T
%J International Journal of Computer Applications
%V 64
%N 19
%P 37-41
%R 10.5120/10745-5598
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The prime objective of this paper is to implement an efficient improved color image segmentation method using local histogram and region merging technique. The goal of image segmentation is to cluster pixels into salient image regions, i. e. regions corresponding to individual surfaces, objects or natural parts of objects. Segmentation can be used for object recognition, occlusion boundary estimation within motion or stereo systems, image compression, image editing or image database look-up. Usually image segmentation is an initial and vital step in a series of processes aimed at overall image understanding. There are various techniques for image segmentation. In this research paper, a thorough work has done on the average local histogram of three different color spaces RGB, HSV & Lab. After that k-means clustering and labeling have done on the image for final segmentation.
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