Article: A novel approach for intensity based non-rigid image registration using Powell's algorithm Journal: International Journal of Biomedical Engineering and Technology (IJBET) 2017 Vol.24 No.2 pp.103 - 120 Abstract: In this paper, an approach to medical image registration using Powell's algorithm with a basic concept from mutual information, & entropy, as a new matching criterion is presented. This approach uses histogram equalised reference image and target image. Volume control points of these enhanced images determine the quality of image registration. Based on these volume control points, features like location, edge pixel intensity strength & orientation are considered to compute a joint probability distribution of corresponding edge points from reference and target images. Then mutual information based on this function is minimised to find the best alignment parameters and the translation parameters are calculated using Powell's algorithm and matched to perform image registration. The proposed registration algorithm is faster, robust & proved to be more efficient than the ACO approach quantitatively. Simulations for Powell's algorithm using enhanced images of the same size but with different angles are shown here. Inderscience Publishers - linking academia, business and industry through research

Title: A novel approach for intensity based non-rigid image registration using Powell's algorithm

Authors: Sunanda Gupta; Naresh Grover; Zaheeruddin

Addresses: Department of Electronics and Communication Engineering, Manav Rachna University, Faridabad, Haryana, India ' Department of Electronics and Communication Engineering, Manav Rachna University, Faridabad, Haryana, India ' Department of Electrical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), New Delhi, India

Abstract: In this paper, an approach to medical image registration using Powell's algorithm with a basic concept from mutual information, & entropy, as a new matching criterion is presented. This approach uses histogram equalised reference image and target image. Volume control points of these enhanced images determine the quality of image registration. Based on these volume control points, features like location, edge pixel intensity strength & orientation are considered to compute a joint probability distribution of corresponding edge points from reference and target images. Then mutual information based on this function is minimised to find the best alignment parameters and the translation parameters are calculated using Powell's algorithm and matched to perform image registration. The proposed registration algorithm is faster, robust & proved to be more efficient than the ACO approach quantitatively. Simulations for Powell's algorithm using enhanced images of the same size but with different angles are shown here.

Keywords: image registration; Powell's algorithm; ACO; medical image; enhancement; histogram; BBHE; brightness bi-preserving histogram equalisation; correlation coefficient; mutual information.

DOI: 10.1504/IJBET.2017.084661

International Journal of Biomedical Engineering and Technology, 2017 Vol.24 No.2, pp.103 - 120

Received: 02 Mar 2016
Accepted: 16 May 2016
Published online: 20 Jun 2017 *

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Title: A novel approach for intensity based non-rigid image registration using Powell's algorithm

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