A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.
针对复杂背景及不同光照条件下的车牌图像，提出了一种基于RG B色度空间的车牌定位及校正的新方法，建立了基于RG B色度空间的牌照检测模型。
This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.
本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。
Through the comparing with the experiments, the Chroma Space model was simply and had a good effect, so it was selected as the skin-color detecting model.
通过实验比较，最终选择算法简单、正确率高的色度空间模型作为肤色检测模型。
Through the comparing with the experiments, the Chroma Space model was simply and had a good effect, so it was selected as the skin-color detecting model.
通过实验比较，最终选择算法简单、正确率高的色度空间模型作为肤色检测模型。
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