A fractional-order edge detection operator for medical image structure feature extraction

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外文摘要：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。

外文关键词：

Feature extractionImage edge detectionMedical diagnostic imagingNoiseUltrasonic imagingFeature ExtractionFractional-orderMedical ImageSobel DetectionThresholding Selection

作者：

Tian, Dan、Wu, Jingfei、Yang, Yajie

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作者单位：

School of Information Engineering, Shenyang University, 110044, China

会议名称：

Chinese Control and Decision Conference

会议地点：

Changsha(CN)

会议母体文献：

The 26th Chinese Control and Decision Conference

页码：

5173-5176

出版时间：

2014

DOI：

10.1109/CCDC.2014.6853103