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
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;
Conference_Titel :
Radio Science Conference (NRSC), 2012 29th National
Conference_Location :
Cairo
Print_ISBN :
978-1-4673-1884-6
DOI :
10.1109/NRSC.2012.6208531
