Top-hat

本书主要讲述如何使用Visual C++进行数字图像处理。全书对常用的数字图像处理算法进行了介绍。(This book focuses on how to use Visual C++ digital image processing. The book is commonly used digital image processing algorithms were introduced.)

说明：  功能简单的截图，可以像qq那样截图，并有图片处理功能(Simple screenshots, like QQ screenshots, and image processing capabilities)

说明：  图像颜色显著性，包含颜色直方图和颜色矩，是颜色显著性评价的重要内容(Image Color Salience)

传统滤波方式如均值滤波，中值滤波，维纳滤波对图像去噪的处理以及自适应中值滤波对图像去噪。(Traditional filtering methods such as mean filtering, median filtering, wiener filtering for image denoising processing and adaptive median filter for image denoising.)

双峰法分割图像是一个比较经典的同时也是一个比较使用的图像分割方法(The bimodal France segmented image is a classic is also a use of image segmentation method)

SAR面目标回波仿真 包含3个目标三维矩阵的mat文件 分别对着三种不同面目标可以进行回波仿真 直接运行即可(The SAR surface targets echo simulation contains 3 target three-dimensional matrix mat file against the three different surface targets echo simulation can be run directly)

将一张小图片影藏到大图片当中，使用半色调技术，并通过线性变换，调整两幅图像，将小图像影藏到大图像奇数行和列当中，可以调节线性函数的系数，改变影藏效果，改进后的(Will a small picture hidden to the big picture of a shadow of halftone use technology, and through the linear transformation, adjust the two images, the images hidden to big image of an odd number of rows and columns, can adjust the coefficients of the linear function, change the shadow hidden effect)

说明：  有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。(Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix, according to the number of different features, select the two characteristic values, used to classifier training, and finally with the remaining 5 1 and 5 2 to carry out tests to see whether the classifier can correctly classify the data.)

经典主成分分析法，实现高光谱图像的降维处理 (Classical principal component analysis, to achieve high spectral image dimensionality reduction)

边缘检测，并分割，以不同颜色标示。站内有其matlab实现，这是对应的c++代码。(Edge detection and segmentation, marked with different colors. Inside the station are the matlab realize, This is corresponding c++ code.)