Circular mesh-based shape and margin descriptor for object detection

作者：

Highlights：

• A dynamic circular mesh-based shape and margin descriptor (CMSMD) is proposed.

• An algorithm for contour convexity and concavity identification is presented.

• The CMSMD has functions of both structural and global contour-based descriptors.

• The CMSMD provided 94.69% accuracy in magnetic resonance imaging lesion detection.

• The descriptor will be applicable in many engineering and medical imaging fields.

摘要

•A dynamic circular mesh-based shape and margin descriptor (CMSMD) is proposed.•An algorithm for contour convexity and concavity identification is presented.•The CMSMD has functions of both structural and global contour-based descriptors.•The CMSMD provided 94.69% accuracy in magnetic resonance imaging lesion detection.•The descriptor will be applicable in many engineering and medical imaging fields.

论文关键词：Shape descriptor,Structural and global descriptor,Circular mesh-based shape and margin descriptor,Convex and concave regions,Lesion detection,Dynamic contrast enhanced magnetic resonance imaging

论文评审过程：Received 17 November 2017, Revised 21 May 2018, Accepted 1 July 2018, Available online 5 July 2018, Version of Record 14 July 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.07.004