IMAGE ENHANCEMENT USING AUTOMATIC SEGMENTATION TECHNIQUES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 10
Abstract
This paper provides automatic image segmentation using dynamic region merging algorithm. Image segmentationis to partition the image into meaningful regions with respect to particular application. Image segmentation isbasically to partition image into certain number of pieces that have coherent features, and again group themeaningful pieces for the convenience of perceiving. Image segmentation usually serves as the pre-processingbefore image pattern recognition. Initially the image is clustered and oversegmented using K-means andWatershed Algorithm. With an initially oversegmented image in which many regions with homogeneous colorare detected, image segmentation is performed by iteratively merging the regions according to novel predicate.Novel predicate is defined by sequential probability ratio test. Also an faster algorithm is developed to accelerateregion merging process which maintains nearest neighbour graph in each iteration of merging to producesegmentation which satisfies global properties.
Authors and Affiliations
Priya J. Shirsath
Keywords
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- DOI 10.5281/zenodo.160880
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