A Genetic Programming Approach for Classification of Textures Based on Wavelet Analysis
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- @InProceedings{Chen:2007:WISP,
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author = "Zheng Chen and Siwei Lu",
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title = "A Genetic Programming Approach for Classification of
Textures Based on Wavelet Analysis",
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booktitle = "IEEE International Symposium on Intelligent Signal
Processing, WISP 2007",
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year = "2007",
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month = oct,
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pages = "1--6",
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keywords = "genetic algorithms, genetic programming, feature
extraction, texture classification, wavelet analysis,
wavelet decomposition, feature extraction, image
classification, image texture, wavelet transforms",
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DOI = "doi:10.1109/WISP.2007.4447575",
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abstract = "In this paper, we propose a method for classifying
textures using Genetic Programming (GP). Texture
features are extracted from the energy of subimages of
the wavelet decomposition. The GP is then used to
evolve rules, which are arithmetic combinations of
energy features, to identify whether a texture image
belongs to certain class. Instead of using only one
rule to discriminate the samples, a set of rules are
used to perform the prediction by applying the majority
voting technique. In our experiment results based on
Brodatz dataset, the proposed method has achieved
99.6percent test accuracy on an average. In addition,
the experiment results also show that classification
rules generated by this approach are robust to some
noises on textures.",
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notes = "Also known as \cite{4447575}",
- }
Genetic Programming entries for
Zheng Chen
Siwei Lu
Citations