文件名称:第1章
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不同颜色空间下的人脸图像分割,彩色图像处理中有许多彩色空间坐标系,最常见的是RGB空间。其余的还有HSV空间、YCrCb空间、YIQ空间和YUV空间等,这些都可以从RGB空间转换而来。在大多数情况下,图像信息是以RGB的颜色体系保存,然而在人脸肤色分析中,由于RGB颜色的R、G、B三个颜色分量都包含亮度信息,存在极强的相关性,一般不适合肤色处理。所以一般情况下在进行肤色区域检测之前,要将RGB颜色体系转换到其他颜色体系中,而不直接利用RGB彩色空间。(There are many color space coordinate systems in color image processing, the most common is RGB space. The rest include HSV space, YCrCb space, YIQ space, and YUV space, all of which can be converted from RGB space. In most cases, the image information is stored in the RGB color system, but in the face color analysis, because the RGB color R, G, B three color components include brightness information, there is a strong correlation between, generally not suitable for skin treatment. So in general, before the skin color area is detected, the RGB color system should be converted to other color systems instead of using the RGB color space directly.)
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绗?绔?bayes_classifier.m
绗?绔?compute_error.m
绗?绔?comp_gauss_dens_val.m
绗?绔?em_alg_function.m
绗?绔?EM_pdf_est.m
绗?绔?euclidean_classifier.m
绗?绔?gauss.m
绗?绔?Gaussian_ML_estimate.m
绗?绔?generate_gauss_classes.m
绗?绔?knn_density_estimate.m
绗?绔?k_nn_classifier.m
绗?绔?mahalanobis_classifier.m
绗?绔?mixture_Bayes.m
绗?绔?mixt_model.m
绗?绔?mixt_value.m
绗?绔?Parzen_gauss_kernel.m
绗?绔?plot_data.m
绗?绔?ysw1_1.m
绗?绔?ysw1_10.m
绗?绔?ysw1_11.m
绗?绔?ysw1_12.m
绗?绔?ysw1_13.m
绗?绔?ysw1_2.m
绗?绔?ysw1_3.m
绗?绔?ysw1_4.m
绗?绔?ysw1_5.m
绗?绔?ysw1_6.m
绗?绔?ysw1_7.m
绗?绔?ysw1_8.m
绗?绔?ysw1_9.m
绗?绔?bayes_classifier.m
绗?绔?compute_error.m
绗?绔?comp_gauss_dens_val.m
绗?绔?em_alg_function.m
绗?绔?EM_pdf_est.m
绗?绔?euclidean_classifier.m
绗?绔?gauss.m
绗?绔?Gaussian_ML_estimate.m
绗?绔?generate_gauss_classes.m
绗?绔?knn_density_estimate.m
绗?绔?k_nn_classifier.m
绗?绔?mahalanobis_classifier.m
绗?绔?mixture_Bayes.m
绗?绔?mixt_model.m
绗?绔?mixt_value.m
绗?绔?Parzen_gauss_kernel.m
绗?绔?plot_data.m
绗?绔?ysw1_1.m
绗?绔?ysw1_10.m
绗?绔?ysw1_11.m
绗?绔?ysw1_12.m
绗?绔?ysw1_13.m
绗?绔?ysw1_2.m
绗?绔?ysw1_3.m
绗?绔?ysw1_4.m
绗?绔?ysw1_5.m
绗?绔?ysw1_6.m
绗?绔?ysw1_7.m
绗?绔?ysw1_8.m
绗?绔?ysw1_9.m