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肤色分割的matlab源代码
- RGB色彩空间转换为Ycbcr色彩空间并进行非线性变换后判别肤色 仅供大家参考-RGB color space conversion to Ycbcr color space and nonlinear transformation discriminant color only reference! !
skin
- 人脸肤色检测，在转换成Ycbcr格式后用相关系数进行肤色似然度计算，检测属于肤色的像素。-Skin color detection, the conversion into Ycbcr format color by correlation coefficients calculated likelihood, detection is skin color pixels.
wbalance
- Matlab程序，实现了一种新的色彩白平衡算法。 针对物体在有色光源照射下呈现偏色的现象,提出一种改进的LoG边缘自动白平衡算法。该算法在YCbCr空间的Cb和Cr分量上同时利用LoG算子提取边缘,利用LoG边缘具有零交叉特性直接得到边缘两侧的像素。为了避免占主导的彩色纹理造成干扰,利用白色区域的偏色信息进行边缘抑制。利用得到彩色边缘对原图的偏色进行有效的估计,最后计算三颜色通道的增益并进行白平衡。对大量图片进行了实验,结果表明该算法对不同色光照射下的图像均能很好地进行白平衡,同时与多种白平衡算
rgb2ycbcr[1]
- This a scr ipt to convert Images RGB to YCbCr-This is a scr ipt to convert Images RGB to YCbCr
ColorSpaceConverter
- 用于颜色空间的转换。可以在RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH)等颜色空间中任意转换。 -The Matlab program used for color space conversion. In RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr,
maria
- Objective: To familiarize with the kinds of color spaces: NTSC, YCbCr, HSV, CMY, CMYK, and HSI. Acquire the skills transformation images in color space, which will be illustrated functions with MatLab.
Desktop
- conversion rgb to YCbCr
m-file
- RGB/Ycbcr face detection / matlab
fusemoxing
- 包含KL、YCBCR等不同肤色模型的matlab比较与实现，以及相关文献-Containing KL, YCBCR matlab models such as comparison of different colors and implementation, and related literature
YCBCR
- matlab 手势识别定点仿真 使用Matlab对已有手势识别算法进行定点仿真-pointing gesture recognition matlab Matlab simulation using existing gesture recognition algorithm for fixed-point simulation
PSNRSSIM_matlab
- matlab计算两幅图片之间的psnr和ssim值，彩色图片，算法是转换为YUV计算的，YCbCr-matlab computing psnr and ssim value between two pictures, color pictures, the algorithm is converted to YUV calculation, YCbCr
matlab框脸
- 用于ycbcr空间检测人脸肤色，需要自己添加试验级。用photoshop软件将人脸涂白，其余的地方全部涂黑。(For YCbCr space to detect facial complexion, you need to add test level yourself. Photoshop software is used to whitewash the faces and the rest are blackened.)