Description: Qualitative and quantitative description of coronary artery, a large extent depends on the contrast images of the vascular structure of the recognition result, this paper presents a fuzzy multi-feature recognition algorithms distinguish vascular structures. Implementation process, the first vessel through the initial characteristics of image preprocessing was, and then use a circular detector scanning along the vascular path and to obtain a variety of local measures in defining the characteristics of the various local measure of the multi-fuzzy sets and membership function after by constructing a fuzzy recognition accurately determine vessel operator s side, section, branch and cross-structure. The method in simulation models and multi-vessel coronary angiography image sets were real good results, the structure of the actual image recognition accuracy of 92 on average.
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利用模糊识别算法分析冠状动脉造影图像中的血管结构.PDF
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