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- rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记-rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark
TImageColorspace
- 各种颜色空间的转化 史上最全的 有RGB HSI HSV Ycbcr LAB -The history of the various color space conversion has the most complete RGB HSI HSV Ycbcr LAB
chapter9
- 彩色图像处理，RGB,CMY,HSI,HSV,YUV,YIQ,Lab模型的源代码等。及彩色补偿 彩色平衡等。-Color image processing, RGB and CMY, HSI, HSV, YUV and YIQ, Lab model source code, etc. And color compensation Color balance, etc.
RGB2LAB
- opencv编程，将RGB转换成lab空间显示，可以运行，代码比较短，容易理解。-opencv programming, lab space will be converted to RGB display, you can run, the code is relatively short and easy to understand.
segmentation-of-color-images
- 首先将RGB空间的彩色图像转换到LAB空间，然后利用K-means均值聚类方法对lab空间的彩色图像进行图像分割-this method of color image segmentation isbased on K-means and the Color space conversion between RGB and Lab
program4
- 利用色彩空间的转换（RGB到LAB），并结合图像的颜色直方图分布，对彩色图像进行图像分割-Using the color space conversion (RGB to LAB), and combined with the color histogram of the image to segment thecolor images
Color-Convert
- 颜色空间转换RGB、LUV、Lab、HSV、HSI、YUV-color space convert RGB、LUV、Lab、HSV、HSI、YUV
rgb2lab
- 用于影像分割的超像素生成，将原始影像由rgb空间转换至lab空间-Super pixel for image segmentation to generate the original image is converted by rgb space to space lab
RGB2lab
- 三维彩色点云RGB颜色转换成LAB颜色空间 ，很好的区分树木-3D Point Cloud rgb to lab
colortransf
- 色彩空间的转换，RGB、XYZ、LAB的相互转换以及LAB与LCH的转换(Color space conversion, RGB, XYZ, LAB conversion, and LAB2LCH conversion)
rgb2lab
- 将rgb颜色空间的rgb值转换为lab颜色空间的值(Converts the color of the RGB value to the lab value)
颜色识别python (2)
- 摄像头所采集到的图像及图像处理完成后的显示都需要用到颜色模型，常见的颜色模型包括RGB、HSV、HSL、Lab等，这里我所用到的颜色模型有RGB、HSV。RGB颜色模型分别对应Red（红色）、Green（绿色）、Blue（蓝色）这三种颜色，HSV颜色模型分别对应Hue（色相）、Saturation（饱和度）、Value（明度）这三种参数。将摄像头所采集到的RGB数据通过Python程序转变为HSV数据(The color model is needed to display the image
1
- 通过对RGB到LAB颜色空间的转换，从而实现对图像显著性检测。(Through the RGB to LAB color space conversion, in order to achieve the image saliency detection.)
SalientRegionDetector
- 通过将图像的RGB空间向LAB空间转换并进行优化，最终可以实现图像的显著性检测(By converting the RGB space of the image to LAB space and optimizing it, finally the saliency detection of the image can be achieved.)
segment
- An image segmentation algorithm, based on LAB color space, convert the image from RGB to LAB, then segment it.
rgb2lab
- 转换图像颜色空间，将图像从rgb空间转换到lab空间(transform the rgb image to lab)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
基于BP神经网络的色空间转换
- 本案例为基与bp神经网络对pantone色卡中RGB空间向Lab空间转换的源码，并已经调试成功输入层输出层函数与神经元个数。附加功能：直接得出各色块的Eab色差已经测试样本与预测样本的相关系数。经多次实验，相关色差在2~3之间，低于CIE认可标准：4，相关系数达到0.96以上，可以准确预测绝大多数色块，用于色彩管理建模。(This case is for color space converting(RGB Space to Lab Space) You can master how to u