title: Improvement deoxyribo nucleic acid spots classification in polyacrylamide [correction of polyacrilamide] gel images using photometric normalization algorithms.
abstract: A comparative study of four enhancement algorithms traditionally used in computer vision for photometric normalization of images affected by illumination changes is presented in this paper. We experimented with the performance of these approaches to reduce the low frequency multiplicative noise that is produced as a result of a non-homogeneity illumination or a non-homogeneity developed chemical process in polyacrylamide gel electrophoresis images for the purpose of automatic classification of deoxyribo nucleic acid (DNA). The algorithms are tested on a database and their results are compared in a system for feature extraction and DNA classification.
authors.affiliation: Advanced Technology Application Center, 7ma, No. 21812, Siboney, Playa 12200, Cuba.
authors.forename: Eduardo
authors.initials: E
authors.lastname: Garea Llano
authors.forename: Francisco
authors.initials: F
authors.lastname: Silva Mata
authors.forename: Isneri
authors.initials: I
authors.lastname: Talavera Bustamante
authors.forename: Noslen
authors.initials: N
authors.lastname: Hernández González
authors.forename: Ricardo
authors.initials: R
authors.lastname: González Gazapo
mesh_terms: D000465:Algorithms; D004247:DNA / Q000032:analysis* / Q000145:classification*; D004591:Electrophoresis, Polyacrylamide Gel / Q000379:methods* / Q000639:trends; D005782:Gels; D010783:Photometry / Q000379:methods* / Q000639:trends
chemical_list: D005782:Gels; D004247:DNA