Model for spatial and chromatic vision
| Autor: | Madan M. Gupta, Jarmo Hallikainen, George K. Knopf, Timo Jaeaeskelaeinen, Jussi Parkkinen |
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| Rok vydání: | 1992 |
| Předmět: |
Mathematics::Combinatorics
Artificial neural network Color normalization Machine vision Computer science business.industry Color vision ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Spectral color Computer vision Chromatic scale Artificial intelligence Image sensor business |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.135128 |
| Popis: | An artificial vision system with spatio-chromatic channels is proposed. A dynamic neural network is used for the spatial and chromatic information of a scene. The spatio-chromatic information is transmitted into two channels for processing. This segmentation allows accurate spatial and chromatic analysis of the visual input. For both channels, models based on the biology of the visual system are used. Spatial channel responses simulate, e.g., enhanced edges and subjective contours. Chromatic channel output is shown to correspond to the color characteristics found in the spectral color tests and in the literature of the physiology of color vision. The ultimate goal of the project is to find a biologically motivated model for an intelligent image sensor. In this report we describe potential candidates for both spatial and chromatic information. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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