Paper Title:
Research on Multi-Threshold Color Image Segmentation Based on Rough Set
  Abstract

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, 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
$32.00
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