Studies on genetic algorithms in image processing

Computer Vision is a branch of Computer Science and Engineering that aims to develop methods for electronically perceiving and understanding images. The objective of this work is to use this technique to develop algorithms for rigid body image registration and to prove that it is a versatile algorithm for evolutionary image registration.Genetic Algorithm is used to find procedures to convert a binary image into another containing just a particular characteristic of interest. The study in this thesis is both theoretical and applied in nature.On the theoretical side, a method for image registration is proposed and the gradient analysis of fitness functions is analysed. In addition, a method is developed to study the mathematical morphology of binary images. On the application side, Genetic Algorithm is applied to generate genetically optimized parameters to consistently yield image results comparable to those of their ideal counterparts.

Autorentext

Dr. A. P. Shanthini, Systems Manager, Manonmaniam Sundaranar University, Tirunelveli, India has been serving for more than 20 years at the University. As systems manager, she has monitored the development work and made possible the e-Governance implementations at her university. She is also involved in campus networking at her university.