DocumentCode :
659350
Title :
Detection of Structural Similarity for Multimodal Microscopic Image Registration
Author :
Guohua Lv ; Shyh Wei Teng ; Guojun Lu ; Lackmann, Martin
Author_Institution :
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
fYear :
2013
fDate :
26-28 Nov. 2013
Firstpage :
1
Lastpage :
8
Abstract :
In this paper we propose a novel method to detect the structural similarity in registering color and confocal microscopic images. Our prior work presented the basic idea of detecting the structural similarity of such images, which utilizes the intensity relationships among red-green-blue color channels. The work in this paper will make the detection of structural similarity automatic and adaptive to each individual color microscopic image. The experimental results will demonstrate the effectiveness of the proposed method in detecting the structural similarity of these images and significant improvements in the registration performance.
Keywords :
image colour analysis; image matching; image registration; microscopy; color microscopic images; confocal microscopic images; intensity relationships; multimodal microscopic image registration; red-green-blue color channels; structural similarity detection; Color; Decision support systems; Equations; Image color analysis; Mathematical model; Microscopy; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2013 International Conference on
Conference_Location :
Hobart, TAS
Type :
conf
DOI :
10.1109/DICTA.2013.6691495
Filename :
6691495
Link To Document :
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