ostu

仿射变换来实现旋转 (线性变换)，平移 (向量加)，缩放操作 (线性变换)(Affine transformations are implemented by rotation (linear transformation), translation (vector addition), scaling operation (linear transformation))

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

Image Watershed Segmentation图像边缘提取(Image Watershed Segmentation Image Edge Detection)

一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

一个全面的图像处理平台，基本上具有教课书上所说的所有图像处理算法，并附带一些关键算法！()

将图片转化为BMP位图，然后通过逐行扫描识别图片中的数字。(A picture into a BMP bitmap, and then through the progressive scanned image in the figure.)

用OpenCV进行图像处理与工程开发的一个入门示例程序——Hough变换，效果不错(using OpenCV for image processing and development of a project portal sample program-- Hough Transform good results!)

说明：  opencv入门程序，使用opencv模式读取图像并显示，在vs环境下调用matlab进行图像读取和显示(opencv entry procedures, read the image using opencv mode and display, in the vs environment, call matlab to read and display the image)

一个简单的HALCON计算圆心坐标的例子，C++代码格式，初学者适用！(A simple example of calculating coordinates HALCON, c++ code format, for beginners!)

Source code to segment skin colour.