用模糊C均值算法实现图像分割 fcm

28个vc++图像处理原程序之--对比度拉伸(28 vc++ Image processing of the original procedure- contrast stretching)

说明：  VC++.NET车牌识别、字符分割与归一化处理，图像对象BMP格式，程序将读取车牌的图像信息，归一化图像大小，动态分配存储图片的像素信息的二维数组，找到图像各列，从左列开始,垂直扫描，实施图片局部分割等，有兴趣编写车牌号识别的可参考对比下。(VC ++. NET license plate recognition, character segmentation and normalization processing, image object BMP format, the program will read the license plate image information, normalize the image size, dynamically allocate a two-dimensional array of pixel information to store the picture, and find the image columns , Starting from the left column, vertical scanning, partial image segmentation, etc. If you are interested in writing the license plate number recognition, please refer to the comparison.)

这是图像恢复中的盲反卷积迭代算法的matlab的源程序，对于学习数字图像有很大的好处！(This is image restoration in the Iterative Blind Deconvolution algorithm matlab source for the study of digital image has a lot of benefits!)

图像融合质量评价指标，包含灰度值，平均梯度，光谱扭曲程度，SSIM，PSNR，MSE等等。(Image fusion quality uation, including gray value, average gradient, spectral distortion degree, SSIM, PSNR, MSE, and so on.)

使用Gabor滤波器进行滤波后的差分矩阵实现遥感图像云检测(Gabor filter is used to filter the differential matrix for remote sensing image cloud detection)

模式识别中运用ICA进行特征提取的matlab代码(Pattern Recognition in the use of ICA for feature extraction matlab code)

说明：  最新的ROI(Region of Interest)算法，不再像传统算法那样只能画出一个圆或者一个长方形。(The latest ROI (Region of Interest) algorithm, is no longer like the traditional algorithms can only be drawn as a circle or a rectangle.)

读取单幅envi图像格式的img图像，并将其显示出来(read img)

说明：  用光流法估计图像的运动，基于像素点的算法(Light flow method estimates the image campaign, pixel-based algorithm for point)

奇异值分解波束形成，自适应波束形成仿真。由均匀线阵形式，确定阵列的导向矢量；由阵列导向矢量，对接收信号进行建模仿真；根据约束条件，实现自适应波束形成算法；考察算法性能与信噪比，采样率，观测时间等参数的关系。 (SVD beamforming, adaptive beamforming simulation. Form by the ULA to determine the array steering vector by the array steering vector, the received signal modeling and simulation under constraint conditions, adaptive beamforming algorithm examine algorithm performance and signal to noise ratio, sample rate, observation time, etc. parameters.)