搜索资源列表
rgbintoHSVHSI
- 将RGB颜色通道图像装换成HSI颜色通道图像，将RGB颜色通道图像装换成HSV颜色通道图像，-change RGB channel into HSI channel,change RGB channel into HSV channel
chang
- 这是用来rgb转换成hsv的c语言代码,so good about this-this is about rgb change to hsv that is c lanuage
gpzsstv
- Vc + + realize the transformation of RGB, HSV, including histogram equalization is very good-Vc++ realize the transformation of RGB, HSV, including histogram equalization is very good
HSV
- 将图像进行分块，然后对每一个块提取图像颜色直方图特征。-The image is divided and the image color histogram features are extracted for each block
trafficlight
- 将rgb转换成hsv图像，识别红灯，并在原图中表示出来(Converts RGB to HSV images and identifies red lights)
ColorPalette
- 基于MFC的RGB、HSV等颜色调板选择，能很好的实现基本功能(MFC RGB and HSV color palette selection based on basic functions can be achieved very good)
ColorHistogram
- RGB空间转换HSV并量化，然后实现颜色相似度计算达到检索效果(The RGB space is transformed into HSV and quantized, and then the color similarity is calculated to achieve the retrieval effect)
MFC_手势
- 基于kinect的MFC手势识别 红外摄像头采集回来的图像。基本上背景全部被过路掉。省掉用RGB摄像头，接着还要HSV肤色检测的步骤(MFC gesture recognition based on Kinect)
手势实现播放器的进度和音量调节
- 我的工程用的红外摄像头。如果你用RGB摄像头，要将Segmentation部分替换，可以参考网上的HSV肤色检测程序。(My project uses an infrared camera. If you want to replace Segmentation with a RGB camera, you can refer to the HSV skin detection program on the internet.)
颜色直方图
- 它所描述的是不同色彩在整幅图像中所占的比例，而并不关心每种色彩所处的空间位置，即无法描述图像中的对象或物体。颜色直方图特别适于描述那些难以进行自动分割的图像。(It describes the proportion of different colors in the entire image, and does not care about the spatial location of each color, that is, it can not describe objects or o
ex2
- QT下基于opencv3.2的HSV图像分离，通过查找V分量上ROI区域最亮值的坐标，找到H分量上对应坐标的3*3矩形平均H值，判断出该坐标所处位置的颜色分类(QT under the opencv3.2 based HSV image separation, by looking for the V component on the ROI region of the brightest value coordinates, find the corresponding 3*3 coordin
EmguCV_Img_Analyse
- EmguCV计算RGB图像各通道直方图，HSV图像各通道直方图。(EmguCV image process)
final
- 一种交通标志的ROI分割算法，运用HSV空间的颜色信息和Hu不变矩的形状信息进行识别(A ROI segmentation algorithm for traffic signs, which uses the color information of HSV space and the shape information of Hu invariant moments to recognize)
ts2
- 测试特定颜色的物体 ，通过 hsv转rgb，然后选取红色(Test a specific color object, pass HSV to RGB, and then select red)
代码
- HSV颜色空间是当前图像处理领域中常用的特征分析指标，用次代码课获取彩色图像的颜色空间(HSV color space is the commonly used feature analysis index in the current image processing field, and the color space of color images is obtained by sub code class)
ys
- 相关色彩模式知识： HSV颜色空间 HSV(hue,saturation,value)颜色空间的模型对应于圆柱坐标系中的一个圆锥形子集，圆锥的顶面对应于V=1. 它包含RGB模型中的R=1，G=1，B=1 三个面，所代表的颜色较亮。色彩H由绕V轴的旋转角给定。红色对应于 角度0° ，绿色对应于角度120°，蓝色对应于角度240°。在HSV颜色模型中，每一种颜色和它的补色相差180° 。 饱和度S取值从0到1，所以圆锥顶面的半径为１。HSV颜色模型所代表的颜色域是CIE色度图的一个子集，这个
颜色特征提取
- 图像处理方面，基于rgb特征，进行颜色特征提取(In image processing, color feature extraction is based on RGB features)
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
Edge detection
- 目标检测首先利用统计的方法得到背景模型，并实时地对背景模型进行更新以适应光线变化和场景本身的变化，用形态学方法和检测连通域面积进行后处理，消除噪声和背景扰动带来的影响，在HSV色度空间下检测阴影，得到准确的运动目标。(object detectWe use statistical methods to obtain the background model, and real-time of the background model is updated to adapt to illumina
3
- Hello all I have an rgb image and I want to convert it into HSV image and want to get only SV image.I have code like that