Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology
- 1 March 1986
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. PAMI-8 (2) , 140-146
- https://doi.org/10.1109/tpami.1986.4767768
Abstract
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.Keywords
This publication has 10 references indexed in Scilit:
- An Iterative Segmentation Method Based on a Contextual Color and Shape CriterionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Digital Step Edges from Zero Crossing of Second Directional DerivativesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Iterative Process For Colour Image Segmentation Using A Convexity CriterionPublished by SPIE-Intl Soc Optical Eng ,1983
- Object Oriented Cell Image SegmentationPublished by SPIE-Intl Soc Optical Eng ,1982
- Improving Consistency and Reducing Ambiguity in Stochastic Labeling: An Optimization ApproachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1981
- Image segmentation by pixel classificationPattern Recognition, 1981
- Theory of edge detectionProceedings of the Royal Society of London. B. Biological Sciences, 1980
- Image segmentation and image modelsProceedings of the IEEE, 1979
- A survey of threshold selection techniquesComputer Graphics and Image Processing, 1978
- Scene Labeling by Relaxation OperationsIEEE Transactions on Systems, Man, and Cybernetics, 1976