title: The application of local grey level histograms to organelle classification in histological images.
abstract: The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.
authors.affiliation: Department of Instrumentation and Analytical Science, UMIST, Manchester, UK.
authors.forename: D
authors.initials: D
authors.lastname: Gibson
authors.forename: P A
authors.initials: PA
authors.lastname: Gaydecki
mesh_terms: D000465:Algorithms; D000818:Animals; D003199:Computer Systems; D007090:Image Interpretation, Computer-Assisted; D007256:Information Systems; D016252:Microscopy, Scanning Tunneling; D015388:Organelles / Q000145:classification* / Q000648:ultrastructure; D010363:Pattern Recognition, Automated; D010902:Pituitary Gland / Q000648:ultrastructure; D012756:Sheep