Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology
Issue No. 02 - February (1986 vol. 8)
Catherine Garbay , Equipe de Reconnaissance des Formes et Microscopie Quantitative, Universite Scientifique et Medicale de Grenoble, 38402 Saint Martin D'Heres Cedex, France.
Image processing methods (segmentation) are presented in connection with a modeling of image structure. An image is represented as a set of primitives, characterized by their type, abstraction level, and a list of attributes. Entities (regions for example) are then described as a subset of primitives obeying particular rules. Image segmentation methods are discussed, according to the associated image modeling level. Their potential efficacity is compared, when applied to cytologic image analysis.
C. Garbay, "Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 8, no. , pp. 140-146, 1986.