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基于神经网络的摄像机色度标定方法(英文)
Neural Network Method for Colorimetry Calibration of Video Cameras
【摘要】 研究将摄像机颜色数据从设备依赖色空间转化到与设备无关色空间 .利用BP神经网络的非线性映射特性 ,实现RGB色空间到CIELAB色空间的映射 .给出用不同的网络结构得到的映射精度 .对于摄像机色空间的颜色数据转换 ,用BP网络可以获得令人满意的转换精度
【Abstract】 To transfer the color data from a device (video camera) dependent color space into a device? independent color space, a multilayer feedforward network with the error backpropagation (BP) learning rule, was regarded as a nonlinear transformer realizing the mapping from the RGB color space to CIELAB color space. A variety of mapping accuracy were obtained with different network structures. BP neural networks can provide a satisfactory mapping accuracy in the field of color space transformation for video cameras.
【关键词】 色空间转换;
神经网络;
彩色摄像机;
【Key words】 color space transformation; neural network; color video camera;
【Key words】 color space transformation; neural network; color video camera;
【基金】 DoctoralProgrammeFoundationofInstitutionofHigherEducationofChina
- 【文献出处】 Journal of Beijing Institute of Technology(English Edition) ,北京理工大学学报(英文版) , 编辑部邮箱 ,2000年01期
- 【分类号】TN948.41
- 【被引频次】10
- 【下载频次】108