A Novel Genetic Programming Based Morphological Image Analysis Algorithm

This paper gives an applicable genetic programming(GP) approach to solve the binary image analysis and gray scale image enhancement problems. By showing a section of bi-nary image and the corresponding goal image, this algorithm automatically produces a mathematic morphological opera-tion sequence to transform the target into the goal. While the operation sequence is applied to the whole image, the objective of image analysis is achieved. With well-defined chromosome structure and evolution strategy, the effective-ness of evolution is promoted and more complex morpho-logical operations can be composed in a short sequence. In addition, this algorithm is also applied to infrared finger vein gray scale images to enhance the region of interest. Whose effect is examined by an application of identity authentica-tion, and the accuracy of authentication is promoted