slugA Literature Survey on Task Specific Image Partitioning
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
Image partitioning is an important preprocessing step for many of the state - of - t he - art algorithms used for perfor ming high - level computer vision tasks. The task specific image partitioning method partitions the image by means of correlation clustering, maximizing a linear discriminant function defined over a superpixel graph. Typically, partitioning is made without considering the task in hand. A region - based image representation that made up of by task specific image partitioning will lead to a higher task performance than that reached using any task oblivious partitioning framework. Literature survey had made on various papers which includes the techniques of image segmentation using normalized cuts, mean shift for feature space analysis , graph based image segmentation, quick shift, enforcing label consistency, object class segmentat ion, single image depth estimation and selecting regions for scene understanding.
Authors and Affiliations
Deepu Baby
Keywords
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