Multi‐modal image registration using edge neighbourhood descriptor. Issue 10 (1st May 2014)

• Record Type: Journal Article
• Authors: Cao, Zhulou; Dong, Enqing
• Is Part Of: Electronics letters. Volume 50:Issue 10(2014)
• Page Start: 752
• Page End: 754
• Publication Date: 2014-05-01
• Subjects: image registration -- edge detection -- medical image processing -- entropy -- computational complexity -- distortion; multimodal medical image registration -- edge neighbourhood descriptor -- intensity distortion -- local patch‐based entropy image -- entropy calculation complexity -- mutual information method; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2014.0795
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Multi‐modal medical image registration remains a challenging and active area of research owing to the difficulty of dealing with intensity distortions. Local patch‐based entropy images were recently proposed to address this problem. However, this method suffers from the complexity of calculation of the entropy. Proposed is a new dense descriptor for an image, named the edge neighbourhood descriptor, which assigns different values to different image regions, namely the image background, image edges, edge neighbourhoods and the remaining area. The edge neighbourhood descriptor is faster than the entropy image. Experimental results show that this new descriptor can improve registration accuracy compared with the results of the entropy image and the mutual information method.