otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好...

一个C#写的图片浏览器.演示了C#的图形处理功能!-C# to write a picture browser. C# demonstration of the graphic processing function!

图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature.

遗传算法的图象分割matlab程序,能得到运行结果，很有参考价值 -Genetic algorithm matlab image segmentation procedures, the results can be very useful

一种从法相到高度的全局算法，fc算法，从图像法相恢复图像高度信息-From the law to a high degree of overall algorithm, fc algorithm method to restore images from the image height information

Harris-Laplace combined corner and edge detector 完成对图像的角点和边缘的同时检测-Harris-Laplace combined corner and edge detector angle to complete the image at the same time point and the edge detection

显示图像并进行图像增强，完整的程序。该程序可以显示图像并对其进行处理-show images and image enhancement, and integrity of the process. The procedure can display the image and its treatment

利用OpenCV和VC++软件，根据SIFT特征提取算法提取图像中的SIFT特征点，并绘制出SIFT特征向量-OpenCV and VC++ using the software, according to SIFT feature extraction algorithm for extracting the image of the SIFT feature points, and draw out the SIFT feature vectors

Cohen-Sutherland.The classical algorithm in computer graphics. Suitable for beginners to learn.-Cohen-Sutherland.The classical algorit hm in computer graphics. Suitable for beginner "s to learn.

模板匹配：双向梯度迭代(BDGM)匹配算法-template matching : two-way gradient iteration (BDGM) Matching Algorithm

一种改进的SIFT双向匹配算法，sift是经典的旋转不变特征提取算法，本文对其匹配方式进行了改进-An improved two-way matching SIFT algorithm, sift the classic rotation invariant feature extraction algorithm, this method has been improved to its matching