Multi-modal image registration using edge neighbourhood descriptor

• Published in: Electronics letters Vol. 50; no. 10; pp. 752 - 754
• Main Authors: Cao, Zhulou, Dong, Enqing
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 08.05.2014; Institution of Engineering and Technology; John Wiley & Sons, Inc
• Subjects: Applied sciences; Artificial intelligence; Complexity; computational complexity; Computer science; control theory; systems; Dealing; Distortion; edge detection; edge neighbourhood descriptor; Entropy; entropy calculation complexity; Exact sciences and technology; Image and vision processing and display technology; Image registration; intensity distortion; local patch‐based entropy image; Mathematical analysis; Medical; medical image processing; multimodal medical image registration; mutual information method; Pattern recognition. Digital image processing. Computational geometry; intensity distortion; mutual information method; entropy; local patch-based entropy image; image registration; entropy calculation complexity; edge neighbourhood descriptor; edge detection; multimodal medical image registration; medical image processing; computational complexity; distortion; Image registration; Medical imagery; Experimental result; Image processing; Mutual information; Multiple image

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...