27 March 1989 Fuzzy Segmentation Of Natural Scenes Using Fractal Geometry
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Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960297
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
Segmentation of an image into meaningful regions is a crucial component in intelligent scene understanding. In images of natural scenes there is a high degree of variability and uncertainty in the features which represent the regions and objects. In previous papers, new features, based on fractal geometry, were introduced to describe natural textured regions. In this paper, those fractal features are utilized as descriptors in segmentation algorithms which produce fuzzy partitions of the image plane. In particular, segmentation schemes based on the fuzzy K-nearest-neighbors and split-and-merge are implemented to segment digital images.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James M. Keller and Thomas Downey "Fuzzy Segmentation Of Natural Scenes Using Fractal Geometry", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960297; https://doi.org/10.1117/12.960297

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