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Ant Colony based Metaheuristic Technique for Color Image Segmentation
Author(s) -
Baljot Kaur,
K. Aditya Shastry
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016911960
Subject(s) - computer science , ant colony optimization algorithms , metaheuristic , artificial intelligence , segmentation , ant colony , image (mathematics) , computer vision , parallel metaheuristic , meta optimization
age Segmentation is an essential procedure of image processing as well as knowing it. Mainly it's known due to the method of splitting the image into various elements of homogeneity. The goal of image segmentation is to make simpler presentation of an image into incredible which is meaningful as well as easy to understand. It is mainly utilized to know the location of objects, boundaries, lines etc in the digital images. Clustering technique is a method which shows the data set or pixels are replaced by cluster, pixels might be together because of the same color, texture etc. This paper represents the effect of mixed regions on image segmentation and color images contain maximum information for efficient image segmentation. KeywordsProcessing,Image Segmentation Techniques,

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