DocumentCode :
1978066
Title :
An Approach on Analyzing Histogram and Selecting Threshold
Author :
Qi, Chen ; Bo-li, Xiong ; Jun, Lu ; Gang-yao, Kuang
Author_Institution :
Sch. of Electron. Sci. & Technol., Nat. Univ. of Defense Technol., Changsha, China
Volume :
6
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
185
Lastpage :
188
Abstract :
On the basis of observing good valley of many bimodal histograms, this paper defined three guide lines about valley and finished the automatic analysis of valley. Then, the paper established the algorithm of selecting good valley threshold by simulating human¿s thinking process. This paper proposed a method on analysis of histogram and selection of threshold. This technique is not sensitive to whether bimodal histogram is distinct and whether the depth of valley is deep. Also, it is not sensitive to small fluctuation of burrs. The valley picked by principle above is same to the valley picked by artificial selection. Therefore, this method could achieve good effect of segmentation for image possessing bimodal histogram. Comparing with Otsu¿s method, this proposal could get better effect of segmentation. And experiments proved that this method is effective and accurate.
Keywords :
image segmentation; statistical analysis; artificial selection; automatic valley analysis; image possessing bimodal histogram; image segmentation; image threshold selection; Algorithm design and analysis; Application software; Computer science; Digital images; Fluctuations; Histograms; Image analysis; Image segmentation; Proposals; Software engineering; histogram; image segmentation; threshold; valley;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.410
Filename :
4723227
Link To Document :
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