rgb2hsv

VC development motion control routines, vb development 12 axis motion control routines

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)

Visual C++ 6.0，基于opencv，MFC框架下开发，一个具有视频交互功能的桌面程序，功能类似于例程“Computer Vision Virtual Buttons”，能够实现基于视频交互的虚拟按钮的触发，(Visual C++ 6.0, based on opencv, MFC framework of development, a video interactive features of desktop applications, functions similar to the routine " Computer Vision Virtual Buttons" , to video-based interactive virtual button, trigger,)

在基于的图像分割方法中，CV模型是一个非常重要模型。这是其实现ＭＡＴＬＡＢ源代码。(Based image segmentation method, CV model is a very important model. This is the MATLAB source code for its implementation.)

介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 (介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 )

cordic matlab simulation algorithm, Accuracy can reach 98%, Is the topic of the elementary school stage curriculum design.

小波去噪,实现阈值小波去噪，并且含有frost去噪，并且输出信噪比(Wavelet denoising, to achieve the threshold wavelet denoising, denoising and contains frost, and the output signal to noise ratio)

说明：  基于BP神经网络的鼠标手势识别算法与实验程序GestureStudy(BP neural network based on the mouse gesture recognition algorithm and experimental procedures GestureStudy)

求图像在hsv颜色空间下三个通道的颜色矩(colormoment in hsv colorspace)

基于OPCV的blob搜索算法，图像处理经典算法(OPCV the blob-based search algorithm, image processing, the classical algorithm)