Recognition of Objects by Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Safaryan:2013:IJACSA,

• author = "Nerses Safaryan and Hakob Sarukhanyan",
• title = "Recognition of Objects by Using Genetic Programming",
• journal = "International Journal of Advanced Computer Science and Applications",
• year = "2013",
• number = "12",
• volume = "4",
• pages = "132--136",
• keywords = "genetic algorithms, genetic programming, GP, terminals, fitness, selection, crossover, mutation, ground truth",
• publisher = "The Science and Information (SAI) Organization",
• bibsource = "OAI-PMH server at thesai.org",
• description = "International Journal of Advanced Computer Science and Applications(IJACSA), 4(12), 2013",
• language = "eng",
• oai = "oai:thesai.org:10.14569/IJACSA.2013.041219",
• URL = "http://thesai.org/Downloads/Volume4No12/Paper_19-Recognition_of_Objects_by_Using_Genetic_Programming.pdf",
• URL = "http://dx.doi.org/10.14569/IJACSA.2013.041219",
• size = "5 pages",
• abstract = "This document is devoted to the task of object detection and recognition in digital images by using genetic programming. The goal was to improve and simplify existing approaches. The detection and recognition are achieved by means of extracting the features. A genetic program is used to extract and classify features of objects. Simple features and primitive operators are processed in genetic programming operations. We are trying to detect and to recognise objects in SAR images. Due to the new approach described in this article, five and seven types of objects were recognised with good recognition results.",

}

Genetic Programming entries for Nerses Safaryan Hakob G Sarukhanyan

Citations