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

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.

Citation Download Citation

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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