Image Registration by Optimization of Mutual Information 


Vol. 8,  No. 2, pp. 155-163, Apr.  2001
10.3745/KIPSTB.2001.8.2.155


PDF
  Abstract

In this paper, we propose an image registration method by optimization of mutual information to provide a significant information from multimodality images. The method applies mutual information to measure the statistical dependency or information redundancy between the image intensities of corresponding pixels in both images, which is assumed to be maximal if the images are geometrically aligned. We show the registration results optimizing mutual information between brain MR image and brain CT image and the comparison results with additive gaussian noise. Since our method uses the native image rather than prior segmentation or feature extraction, no user interaction is required and the accuracy of registration is improved. In addition, it shows the robustness against the noise.

  Statistics
  Cite this article

[IEEE Style]

H. Hong and M. H. Kim, "Image Registration by Optimization of Mutual Information," The KIPS Transactions:PartB , vol. 8, no. 2, pp. 155-163, 2001. DOI: 10.3745/KIPSTB.2001.8.2.155.

[ACM Style]

Helen Hong and Myoung Hee Kim. 2001. Image Registration by Optimization of Mutual Information. The KIPS Transactions:PartB , 8, 2, (2001), 155-163. DOI: 10.3745/KIPSTB.2001.8.2.155.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals