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

Abstract

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).