A grey-tone image can be viewed as a three-dimensional continuous surface with peaks, ridges, valleys, plains and oriented facets. In this paper, simple methods are described to analyze the structure of this three-dimensional surface. A small number of classes are defined to represent the structure of the image, and an algorithm is used to classify each pixel according to its local grey-tone structure. Then, region growing procedures are given to segment the image into semantically meaningful regions. The problem of establishing a relationship between a topographic class and the physical properties of the image is also addressed and an algorithm is proposed to extract image patches which correspond to three-dimensional continuous surfaces in the scene. Applications of these algorithms to several images are presented and discussed.
Topographic Description Of Grey-Tone Images: Some Applications To Segmentation And Tracking.
Real-Time Image Processing: Concepts and Technologies ; 1987 ; Cannes,France
Proc. SPIE ; 0860
1988-04-11
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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