A Combined Model of Bayesian Network and Spatial Markov Kernel for Multiclass Image Segmentation and Categorization
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 1
Abstract
Abstract: We propose a new Bayesian Network model that segments the region of interest from the image and categorize the segmented image. A Bayesian Network is constructed from an over segmentation to model the statistical dependencies among edge segments, vertices, corners and blobs. The proposed interactive image segmentation involves active user intervention for interactive image segmentation while existing interactive segmentation approaches are often passively depend on the user to provide exact intervention. Image categorization is done based on the Spatial Markov Kernel (SMK)that categorizes the segmented image
Authors and Affiliations
Anurekha G
Keywords
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