An efficient image pattern recognition system using an evolutionary search strategy

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Guo:2009:SMC,

• author = "Pei-Fang Guo and Prabir Bhattacharya and Nawwaf Kharma",
• title = "An efficient image pattern recognition system using an evolutionary search strategy",
• booktitle = "IEEE International Conference on Systems, Man and Cybernetics, SMC 2009",
• year = "2009",
• month = oct,
• pages = "599--604",
• address = "San Antonio, Texas, USA",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, EM, GP, Gaussian mixture estimation, HROIT, OPMD disease diagnosis, efficiency 90.20 percent, evolutionary genetic programming, evolutionary search strategy, expectation maximization algorithm, feature function generation, histogram region, image pattern recognition system, image thresholding, oculopharyngeal muscular dystrophy, primitive texture feature extraction, support vector machine, Gaussian processes, diseases, expectation-maximisation algorithm, eye, feature extraction, image recognition, image segmentation, image texture, medical image processing, muscle, search problems",
• ISSN = "1062-922X",
• DOI = "doi:10.1109/ICSMC.2009.5346614",
• size = "6 pages",
• abstract = "A mechanism involving evolutionary genetic programming (GP) and the expectation maximization algorithm (EM) is proposed to generate feature functions automatically, based on the primitive features, for an image pattern recognition system on the diagnosis of the disease OPMD. Prior to the feature function generation, we introduce a novel technique of the primitive texture feature extraction, which deals with non-uniform images, from the histogram region of interest by thresholds (HROIT). Compared with the performance achieved by support vector machine (SVM) using the whole primitive texture features, the GP-EM methodology, as a whole, achieves a better performance of 90.20percent recognition rate on diagnosis, while projecting the hyperspace of the primitive features onto the space of a single generated feature.",
• notes = "Also known as \cite{5346614}",

}

Genetic Programming entries for Pei Fang Guo Prabir Bhattacharya Nawwaf Kharma

Citations