X-ray angiogram image enhancement in DSA with generalized fuzzy operator

It is believed that fuzzy set theory is a useful tool for handling the uncertainty associated with vagueness and/or imprecision. In this paper, by using a fuzzy entropy approach, a novel adaptive image fuzzy enhancement algorithm is presented. After a general discussion on fuzzy entropy, the concept...

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Bibliographic Details
Published inInternational Symposium on Bioelectronics and Bioinformations 2011 pp. 170 - 173
Main Authors Yuan Xinqi, Zhao Shujun, Zhou Fugen, Zhang Tao, Fu Weiwei, Xu Chuan, Liu Min
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2011
Subjects
Entropy
Fuzzy set theory
Fuzzy sets
Histograms
Image edge detection
Image enhancement
Noise
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Summary:It is believed that fuzzy set theory is a useful tool for handling the uncertainty associated with vagueness and/or imprecision. In this paper, by using a fuzzy entropy approach, a novel adaptive image fuzzy enhancement algorithm is presented. After a general discussion on fuzzy entropy, the concept of elementary entropy function of a fuzzy set is introduced. Using this mapping, the selection of the threshold value in image enhancement is beneficial to a certain extent. The second part of the paper investigates the applicability of the generalized fuzzy operator (GFO), which not only has a closing character and an automatic-adjusting character, but also has a transplant character to other enhancement arithmetic. One typical example is used for evaluation this algorithm at last, which is the X-ray angiogram image come from the Digital Subtraction Angiography (DSA).
ISBN:145770076X
9781457700767
DOI:10.1109/ISBB.2011.6107673