| Summary: | 碩士 === 國立中正大學 === 醫療資訊管理研究所 === 104 === Image processing technology increasingly widely used in various fields and plays a supporting role. For example, Image registration is also an important topic in medical image analysis. In this paper, there have some problems, like the image color is different, lost some subtle features or the image rotation problems. So we focus on how to detect the complete blood vessels and achieve more accurate matching. First, we use Gabor filter to detect edge and the adaptive method to detect edge. Second, we focus on image registration method which consists of a feature-based registration approach using speeded up robust features (SURF) and random sample consensus algorithm (RANSAC), to automatically registering two adjacent retinal images from a series of microscopic image sequence to achieve more accurate matching. The experimental results show that the proposed method in this study has promising results.
Keywords: Image registration、Image enhancement、SURF、RANSAC
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