getOrientMap

说明：  图像校正处理代码，能够运行，能够使用，并达到预期要求(Image correction processing code, able to run, use, and meet the expected requirements)

基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例(K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case)

基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪(GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising)

对火焰图像进行二值化 边缘检测 链码提取 并计算火焰图像的面积和周长 绝对好用！(Binarization flame image edge detection chain code extraction and absolutely easy to calculate the area and perimeter of the flame image!)

很好的mATLAB代码，利用最大交叉熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割，效果很好(MATLAB good code,the use of maximum cross entropy, determine the number of iterations, complete PCNN image segmentation,result is good.)

高阶频谱分析工具箱，老外写的代码，可以用来做实验(High-order spectral analysis toolbox, a foreigner writing code that can be used to experiment)

实现图像融合的一些基本代码 实现了梯度金字塔拉普拉斯金字塔算法的图像融合 (matlab This procedure based on the implementation of the FSD pyramid image fusion algorithm, the effect was not bad, you can reference.)

傅里叶振幅相位恢复工具箱，包括经典的ER、HIO算法(toolbox of Fourier magnitude phase retrieval in matlab, including ER, HIO algorithms)

对理想的心音信号加入噪声，仿真成实际带噪声的心音信号，然后对其进行维纳滤波程序(The ideal heart sound signal added noise, simulation into actual heart sounds with noise signal, and then its Wiener filtering program)

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。(simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.)