CorrelationCoefficient

说明：  脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)

一段matlab试验程序，可以学习FFT+降噪的功能，适合初学者。(Test a matlab program, you can learn FFT+ noise reduction features, suitable for beginners.)

改进的otsu算法，计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)

SSR算法，自己已经测试过了，绝对可以使用！！！！而且我自己增加了直方图显示。希望能帮助到大家~~(SSR )

matlab实现图像的读取，灰度变换、二值化、边缘检测和hough变换，包含有简单界面。(matlab image read, gray-scale transformation, binarization, edge detection and hough transform, contains a simple interface.)

curve matching tool 关于曲线匹配的一些程序(curve matching tool on the curve matching some of the procedures)

hough检测圆的Matlab源码！希望对大家有所帮助！(hough circle detection Matlab source code! Want to be helpful to everyone!)

说明：  这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

K均值 很好用的K均值代码 很好用的K均值代码(K-means K-means used in a very good code)

说明：  数字图象处理的文献资料，可以很好的处理边缘检测的文献(Digital image processing literature, can handle edge is very good detection literature)