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