A Survey on Modified SVM for Image Segmentation

International Journal of Computer & Organization Trends  (IJCOT)          
© 2014 by IJCOT Journal
Volume - 4 Issue - 2
Year of Publication : 2014
Authors :  Latha S , Adeel ahmed khan , Dr. S Basavaraj Patil
DOI :  10.14445/22492593/IJCOT-V6P311


Latha S , Adeel ahmed khan , Dr. S Basavaraj Patil. "A Survey on Modified SVM for Image Segmentation", International Journal of Computer & organization Trends (IJCOT), V4(2):47-50 Mar - Apr 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.


In image analysis, segmentation is the partitioning of a digital image into multiple regions according to some homogeneity criterion. There are a wide variety of approaches that are used for segmentation and different approaches are suited to different types of images. Segmentation is the process of partitioning an image into non-intersecting regions such that each region is homogeneous and the union of no two adjacent regions is homogeneous. Support Vectors Machines (SVM) have recently shown their ability in pattern recognition and image classification [Vapnik, 1995]. The aim of this paper is to evaluate the potentiality of SVM on image recognition and image classification tasks.


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Image Segmentation, Support vector machine