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Clustering and optimization based image segmentation techniques

 

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  • Product Description
 

In this research work clustering based techniques is employed on images which results into segmentation of images. The performance of Fuzzy C-means (FCM) integrated with the Particle Swarm optimization (PSO) technique and its variations are analyzed in different application fields. To analyze and grade the performance, computational and time complexity of techniques in different fields several metrics are used. Then the four well known techniques of image segmentation namely Fuzzy C-means algorithm, neighborhood information, Partial differential equation based level set methods and Particle swarm optimization based fractional order Darwinian particle swarm optimization are integrated in order to obtain the improved segmentation. This experimental performance analysis shows that FCM along with fractional order Darwinian PSO give better performance in terms of classification accuracy, as compared to other variation of other techniques used. The integrated algorithm tested on images proves to give better results visually as well as objectively and are more real time compatible.

Product Specifications
SKU :COC36144
AuthorJaskirat Kaur
LanguageEnglish
BindingPaperback
Number of Pages88
Publishing Year11/16/2012
ISBN978-3659250583
Edition1 st
Book TypePhysics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-31 00:00:00