title: Visual positioning of previously defined ROIs on microscopic slides.
abstract: In microscopy, regions of interest are usually much smaller than the whole slide area. Various microscopy related medical applications, such as telepathology and computer aided diagnosis, are liable to benefit greatly from microscope auto positioning on previously defined regions of interest. In this paper, we present a method for image-based auto positioning on a microscope slide. The method is based on localization of a microscopic query image using a previously acquired slide map. It uses geometric hashing, a highly efficient technique drawn from the object recognition field. The algorithm exhibits high tolerance to possible variations in visual appearance due to slide rotations, scaling and illumination changes. Experimental results indicate high reliability of the algorithm.
authors.affiliation: Computer Science Department, Technion-Israel Institute of Technology, Haifa. gbeg@cs.technion.ac.il
authors.forename: Grigory
authors.initials: G
authors.lastname: Begelman
authors.forename: Michael
authors.initials: M
authors.lastname: Lifshits
authors.forename: Ehud
authors.initials: E
authors.lastname: Rivlin
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D019113:Telepathology / Q000379:methods*