Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Morphological algorithm design for binary images using genetic programming
Genetic Programming and Evolvable Machines
Morphological image enhancement procedure design by using genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Genetic programming for edge detection based on accuracy of each training image
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Genetic programming for edge detection using blocks to extract features
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Automatic construction of invariant features using genetic programming for edge detection
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Figure of merit based fitness functions in genetic programming for edge detection
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Genetic programming for automatic construction of variant features in edge detection
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Automatic construction of gaussian-based edge detectors using genetic programming
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Genetic programming for edge detection using multivariate density
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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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 binary image and the corresponding goal image, this algorithm automatically produces a mathematic morphological operation 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 effectiveness of evolution is promoted and more complex morphological 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 authentication, and the accuracy of authentication is promoted.