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Paper Details
Paper Title
Color Image Segmentation Using Particle Swarm Optimization in Lab Color Space
Authors
Kajal Gautam, Dr. Rahul Singhai
Abstract
The color image segmentation is faced the problem of multidimensionality. Color image is considered in five dimensional problems, three dimensions in color and two dimensions in geometry. In this paper the, Lab color space conversion has been used to reduce the one dimension and geometrically it convert in the array hence the further one dimension has been reduced. The ab space is clustered using particle swarm optimization process, which minimizes the overall distance of the cluster which is randomly place at start of the segmentation process. The segmentation results of this method gives clear segments based on the color.
Keywords- Image Segmentation, Particle Swarm Optimization, Clustring, etc.
Publication Details
Unique Identification Number - IJEDR1801063Page Number(s) - 373-377Pubished in - Volume 6 | Issue 1 | January 2018DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Kajal Gautam, Dr. Rahul Singhai, "Color Image Segmentation Using Particle Swarm Optimization in Lab Color Space", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.373-377, January 2018, Available at :http://www.ijedr.org/papers/IJEDR1801063.pdf
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