A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{conf/swarm/WangT11,
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author = "Jun Wang2 and Ying Tan",
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title = "A Novel Genetic Programming Algorithm for Designing
Morphological Image Analysis Method",
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booktitle = "Proceedings of the Second International Conference on
Advances in Swarm Intelligence (ICSI 2011) Part {I}",
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editor = "Ying Tan and Yuhui Shi and Yi Chai and Guoyin Wang",
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year = "2011",
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volume = "6728",
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series = "Lecture Notes in Computer Science",
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pages = "549--558",
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address = "Chongqing, China",
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month = jun # " 12-15",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-21514-8",
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DOI = "doi:10.1007/978-3-642-21515-5_65",
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size = "10 pages",
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abstract = "In this paper, we propose an applicable genetic
programming approach to solve the problems of binary
image analysis and gray scale image enhancement. Given
a section of original image and the corresponding goal
image, the proposed algorithm evolves for generations
and produces a mathematic morphological operation
sequence, and the result performed by which is close to
the goal. When the operation sequence is applied to the
whole image, the objective of image analysis is
achieved. In this sequence, only basic morphological
operations- erosion and dilation, and logical
operations are used. The well-defined chromosome
structure leads brings about more complex morphological
operations can be composed in a short sequence. Because
of a reasonable evolution strategy, the evolution
effectiveness of this algorithm is guaranteed. Tested
by the binary image features analysis, this algorithm
runs faster and is more accurate and intelligible than
previous works. In addition, when this algorithm is
applied to infrared finger vein grey scale images to
enhance the region of interest, more accurate features
are extracted and the accuracy of discrimination is
promoted.",
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affiliation = "Key Laboratory of Machine Perception (Ministry of
Education), Peking University, P.R. China",
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bibdate = "2011-06-06",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/swarm/icsi2011-1.html#WangT11",
- }
Genetic Programming entries for
Jun Wang2
Ying Tan
Citations