Statistical Modeling of Colour Data

作者:Daniel C. Alexander, Bernard F. Buxton

摘要

In this paper we investigate how best to model naturally arising distributions of colour camera data. It has become standard to model single mode distributions of colour data by ignoring the intensity component and constructing a Gaussian model of the chromaticity. This approach is appealing, because the intensity of data can change arbitrarily due to shadowing and shading, whereas the chromaticity is more robust to these effects. However, it is unclear how best to construct such a model, since there are many domains in which the chromaticity can be represented. Furthermore, the applicability of this kind of model is questionable in all but the most basic lighting environments.

论文关键词:colour, statistics, statistical modeling, segmentation, tracking, active region models, snakes, image processing, computer vision, physics-based vision

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论文官网地址:https://doi.org/10.1023/A:1011870913626