title: A diffusion approach to labeling rows and columns in an irregular array.
abstract: A robust algorithm is presented for labeling rows and columns in an irregular array. The algorithm is based on hierarchical pattern matching to a local lattice, which is used as a template. Starting from the best local match, the pattern is expanded hierarchically to encompass the entire array. An application to labeling digitized images of an array of tissue sections mounted on a microscope slide is discussed.
authors.affiliation: Department of Mathematical and Computer Sciences, San Diego State University, 5500 Companile Drive, San Diego, CA 92182-7720, USA. salamon@sdsu.edu
authors.forename: Peter
authors.initials: P
authors.lastname: Salamon
authors.forename: Ben
authors.initials: B
authors.lastname: Felts
authors.forename: Carol
authors.initials: C
authors.lastname: Hand
authors.forename: Alfonso
authors.initials: A
authors.lastname: Limon
authors.forename: Jack
authors.initials: J
authors.lastname: Rose
authors.forename: Jose
authors.initials: J
authors.lastname: de la Torre-Bueno
mesh_terms: D000465:Algorithms; D004282:Documentation / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D046228:Microarray Analysis / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D012815:Signal Processing, Computer-Assisted