A model of visual texture discrimination using multiple weak operators and spatial averaging
| Autor: | Robb Lovell, Sriram Dayanand, William R. Uttal, Thomas Shepherd |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Visual perception
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Texture (geology) Set (abstract data type) Image texture Artificial Intelligence Texture filtering Signal Processing Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software |
| Zdroj: | Pattern Recognition. 25:1157-1170 |
| ISSN: | 0031-3203 |
| DOI: | 10.1016/0031-3203(92)90018-e |
| Popis: | A model of texture segmentation is presented based on the combination of the outputs of six weak texture operators. The combination procedure is a simple statistic in which the center of gravity of the set of suggested boundaries produced by the six operators is computed. The model is effective both as a procedure for texture segmentation and as a model of an important human visual process. The need for heuristic rules suggests that top-down processing may be a general requirement for any theory of human vision. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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