Shifting Color Space for Image Classification using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{herrera-sanchez:2024:GECCOcomp,

• author = "David Herrera-Sanchez and Hector-Gabriel Acosta-Mesa and Efren Mezura-Montes and Aldo Marquez-Grajales",
• title = "Shifting Color Space for Image Classification using Genetic Programming",
• booktitle = "Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion",
• year = "2024",
• editor = "Jean-Baptiste Mouret and Kai Qin",
• pages = "283--286",
• address = "Melbourne, Australia",
• series = "GECCO '24",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, color space, image classification, Evolutionary Machine Learning: Poster",
• isbn13 = "979-8-4007-0495-6",
• DOI = "doi:10.1145/3638530.3654430",
• size = "4 pages",
• abstract = "Image classification is an important application in different areas of computer vision. Genetic Programming (GP) has demonstrated an excellent capability to deal with this task. However, many approaches transform images to grayscale due to the computational cost of working with color spaces. Therefore, possible significant image features for classification could be discarded early. Consequently, our proposal incorporates features extracted from different color spaces for image classification through GP in three datasets. Furthermore, the GP's flexibility allows the images' color space conversion during the evolutionary process. According to the dataset, the final solution determines whether a specific color space was used or if it was necessary to change to another to extract meaningful features from the images. The results demonstrate that changing the color space in some data sets was necessary to achieve competitive classification accuracy.",
• notes = "GECCO-2024 EML A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for David Herrera-Sanchez Hector-Gabriel Acosta-Mesa Efren Mezura-Montes Aldo Marquez-Grajales

Citations