MAP

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

对最大类间方差法进行改良，引入最小类内方差，进一步提高分割效果(For improved Otsu method, introducing the minimum interclass variance, further improve the segmentation effect)

说明：  数字图像处理 初学者可以参考学习 包含图像增强 直方图处理 滤波等(MATLAB_digit_processing_code)

matlab图像稀疏表示的代码。比较详细。(Matlab image sparse representation of code.)

基于变换域的可逆数字水印系统的设计，是本人的毕业设计，基于整数小波变换的嵌入，加上gui界面，记得自己把自己想用的载体图像放到文件夹中。(Design reversible transform domain watermarking system based on my graduation project is based on integer wavelet transform embedded, plus gui interface, the carrier image into your own folder.)

对已有图像进行锐化，这里有不同的方法对比，效果非常好，非常显著(The existing image sharpening, there are different methods to contrast, effect is very good, is very significant )

说明：  图像经透镜的相位因子变换后在透镜后的光场分布(The distribution of light field after lens's phase factor transformation after lens.)

简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等，用于图像的特征提取。(simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA，in order to extract the feature space of image.)

批量的将图像转为tif格式，界面方面操作，放在ENVI的安装路径下即可(convert different format of image to .tiff)