Research on Multi-Threshold Color Image Segmentation Based on Rough Set

Abstract:

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Aims at the problem that the threshold number and value are difficulty to determine automatically existing in multi-threshold color image segmentation method, a novel method of multi-threshold segmentation in HSV is proposed. First of all, the image is pre-processed in HSV, component H and V is projected to S and be quantified at the same time. Secondly, histogram and advanced Histon histogram (AHH) are constructed. According to concept of roughness in the theory of Rough Set, the histogram of roughness (RSH) is constructed. Finally, according to requirement of segmentation accuracy, set a threshold Hn on RSH to determine the number and scope of multi-threshold and the image is segmented with above thresholds. The experimental results show that this method can determine the threshold quantity automatically, segment image efficiently and robust against illumination variation.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

771-776

DOI:

10.4028/www.scientific.net/KEM.474-476.771

Citation:

G. Q. Zhang and Z. M. Li, "Research on Multi-Threshold Color Image Segmentation Based on Rough Set", Key Engineering Materials, Vols. 474-476, pp. 771-776, 2011

Online since:

April 2011

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Price:

$35.00

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