Detection of Structural Similarity for Multimodal Microscopic Image Registration

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 chann...

Full description

Saved in:
Bibliographic Details
Published in2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) pp. 1 - 8
Main Authors Guohua Lv, Shyh Wei Teng, Guojun Lu, Lackmann, Martin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Color
Decision support systems
Equations
Image color analysis
Mathematical model
Microscopy
Tuning
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/DICTA.2013.6691495