数字图像分水岭处理 使用c语言编写的 源代码很好用

采用自适应窗口算法对左右两幅视图进行匹配，得到较为正确的视差图，避免了固定窗口算法产生的边缘不准确问题 -Adaptive window algorithm to match the view on the left 2 get more accurate disparity map, avoiding the edge of the fixed window method produces problems of inaccuracy

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是滤波-for image processing, have been tested, the very practical, is the main source filtering

模式识别和图像处理中特征提取的C++源代码，非常容易集成和使用！-pattern recognition and image processing feature extraction of C source code, and is easy to integrate and use!

SIFT特征提取算法的matlab实现，使用matlab和c的混合编程-SIFT feature extraction algorithm matlab realize, the use of matlab and c mixed programming

Matlab图像处理的典型指令，包含应用测试-Matlab image processing typical commands, including application testing

hough变换源码 用于检测直线或圆形等-hough transform for the detection of source, such as linear or circular

图像分割常用的主动轮廓模型中的一个经典算法――贪心算法的C++实现-Image segmentation of the active contour model commonly used in a classic algorithms- greedy algorithm C++ Achieve

This paper is to solve the image segmentation problem: given an image, we seek to detect the shape of the objects in it.

图像处理中应用非常广泛的二维最小均方误差算法（TDLMS）。绝对好用！-Image Processing is widely used two-dimensional MMSE algorithm (TDLMS). Absolute ease of use!

运用迭代算法求取图像域值，进行图像分割，再利用形态学进行边缘提取-Iterative algorithm to use to strike the image domain value for image segmentation, and then carried out using morphological edge detection