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Color Image Segmentation Technique Using “Natural Grouping” of Pixels
Nirmalya Chowdhury, Biplab Banerjee , Tanusree Bhattacharjee
Pages - 320 - 328     |    Revised - 30-08-2010     |    Published - 30-10-2010
Volume - 4   Issue - 4    |    Publication Date - October 2010  Table of Contents
Segmentation, Region Growing, Natural Grouping.
This paper focuses on the problem Image Segmentation which aims at sub dividing a given image into its constituent objects. Here an unsupervised method for color image segmentation is proposed where we first perform a Minimum Spanning Tree (MST) based “natural grouping” of the image pixels to find out the clusters of the pixels having RGB values within a certain range present in the image. Then the pixels nearest to the centers of those clusters are found out and marked as the seeds. They are then used for region growing based image segmentation purpose. After that a region merging based segmentation method having a suitable threshold is performed to eliminate the effect of over segmentation that may still persist after the region growing method. This proposed method is unsupervised as it does not require any prior information about the number of regions present in a given image. The experimental results show that the proposed method can find homogeneous regions present in a given image efficiently.
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Associate Professor Nirmalya Chowdhury
Jadavpur University - India
Mr. Biplab Banerjee
Jadavpur University - India
Miss Tanusree Bhattacharjee
Jadavpur University - India

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