IJBTT

Improved Color Image Segmentation using Dynamic Region Merging

	International Journal of Engineering Trends and Technology (IJETT)
	© 2016 by IJETT Journal
	Volume-40 Number-2
	Year of Publication : 2016
	Authors : Ms.Priya J. Shirsath, Prof. Neeta Pingle
	DOI :  10.14445/22315381/IJETT-V40P220

Citation 

Ms.Priya J. Shirsath, Prof. Neeta Pingle"Improved Color Image Segmentation using Dynamic Region Merging", International Journal of Engineering Trends and Technology (IJETT), V40(2),114-118 October 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In the field of image processing, Image quality is important. It can be improved using various operations like image segmentation, filtering, etc. Image segmentation is an improvement process in which features sharing similar characteristics are identified and grouped together. Most segmentation techniques are either regionbased or edge based. Image is segmented depending on various features like grey level, intensity and colour. Colour image is divided into clusters using HSI (Hue-Saturation-Intensity) model. Consistency test is use to check similarity between regions. The consistency of predicate is decided by sequential probability ratio test. Merging of region follows the nearest neighbour graph and dynamic region merging algorithm. Depending on similarity, partitions are merged. This merging will give the enhanced segmented image which is the final output. Nearest neighbour graph is used to increase the speed and efficiency of above process. This improved image is useful in the field of medical and security purpose.

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Keywords
DRM, SPRT, DP, Nearest Neighbour graph.