Unsupervised color image segmentation using a dynamic color gradient thresholding algorithm

Guru Prashanth Balasubramanian; Eli Saber; Vladimir Misic; Eric Peskin; Mark Shaw

doi:10.1117/12.766184

18 February 2008 Unsupervised color image segmentation using a dynamic color gradient thresholding algorithm

Guru Prashanth Balasubramanian, Eli Saber, Vladimir Misic, Eric Peskin, Mark Shaw

Author Affiliations +

Proceedings Volume 6806, Human Vision and Electronic Imaging XIII; 68061H (2008) https://doi.org/10.1117/12.766184
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

We propose a novel algorithm for unsupervised segmentation of color images. The proposed approach utilizes a dynamic color gradient thresholding scheme that guides the region growing process. Given a color image, a weighted vectorbased color gradient map is generated. Seeds are identified and a dynamic threshold is then used to perform reliable growing of regions on the weighted gradient map. Over-segmentation, if any, is addressed by a Similarity Measurebased region merging stage to produce the final segmented image. Comparative results demonstrate the effectiveness of this algorithm for color image segmentation.

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Guru Prashanth Balasubramanian, Eli Saber, Vladimir Misic, Eric Peskin, and Mark Shaw "Unsupervised color image segmentation using a dynamic color gradient thresholding algorithm", Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68061H (18 February 2008); https://doi.org/10.1117/12.766184

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