A Fractional-order Edge Detection Operator for Medical Image Structure Feature Extraction

摘要：

　　This paper introduces a novel fractional-order gradient operator for medical image structure feature extraction. The proposed operator can be seen as generalization of the first-order Sobel operator based on the GL fractional derivative definition. The generalization goal is to utilize the frequency characteristic of the fractional derivative for extracting more structure feature details. A thresholding is set based on the average fractional-order gradient for marking the edge points, and then the image structure can be extracted. Experiments show that the proposed fractional-order operator yields good visual effects.

关键词： Fractional-order Feature Extraction Medical Image Sobel Detection Thresholding Selection

作者: Dan Tian Jingfei Wu Yajie Yang

作者单位: School of Information Engineering, Shenyang University,Shenyang,110044,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 5173-5176

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）