DocumentCode
2219160
Title
C13. Region based image registration approach using an artificial immune system
Author
Abdel-Nasser, Mohamed ; Omer, Osama A.
Author_Institution
Aswan Fac. of Eng., South Valley Univ., Aswan, Egypt
fYear
2012
fDate
10-12 April 2012
Firstpage
263
Lastpage
270
Abstract
In this paper, we proposed a novel image registration approach. This approach consists of three sequential steps : 1) segmentation process using watershed method, 2) point correspondence using an artificial immune system and 3) finally, least mean square minimization technique is used to find the transformation that align the two images. To demonstrate the effectiveness of the proposed approach we compare it with a region based optical flow estimation algorithm.
Keywords
artificial immune systems; estimation theory; image registration; image segmentation; least mean squares methods; artificial immune system; image segmentation process; least mean square minimization technique; optical flow estimation algorithm; region based image registration approach; watershed method; Biomedical imaging; Cloning; Educational institutions; Estimation; Image registration; Image segmentation; Immune system; Segmentation; artificial immune system; correspondence; mutation and least squares minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference (NRSC), 2012 29th National
Conference_Location
Cairo
Print_ISBN
978-1-4673-1884-6
Type
conf
DOI
10.1109/NRSC.2012.6208531
Filename
6208531
Link To Document