correlationmatlabcode

基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。(Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).)

该VC++程序是基于CUDA架构的中值滤波程序，GPU加速，并且使用了opencv函数库(The VC++ program is based on the CUDA architecture median filtering program, GPU acceleration, and use the opencv library)

说明：  通过比较在预处理中选择了灰度变换增强、选择了中值滤波平滑、Sobel算子锐化并利用Ostu法阈值分割法进行分割；用了小波多尺度检测进行检测，最后计算出大桥裂缝的相关数据，在大桥桥梁裂缝检测方法与研究中可以较好的实现大桥桥梁裂缝图像的检测。(the gray-scale transform enhancement, median filter smoothing, Sobel operator sharpening are selected in the preprocessing, and the Ostu threshold segmentation method is used for segmentation; finally, the wavelet multi-scale detection is used for detection, which can better realize the detection of the bridge surface crack image in the bridge surface crack detection method and research.)

说明：  代码论文Active Contours Without Edges(code paper Active Contours Without Edges)

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)

在图像传输时，常常需要对图像进行压缩，这些代码用来对图像进行压缩编码。(In the image transmission, it is often the need for image compression, the code used to image compression.)

实验目的： 1） 图像水平集合 2） 图像加密算法 3） 边缘提取 4） 噪音图像的产生 （2）显示图像，理解图像的模型 （3）使用图像的不同格式，理解图像压缩的意义 （4）对图像做简单的操作 本次实验需要熟练使用以下几个MATLAB命令： imread, imwrite, imshow,figure (Experimental purposes: 1) the level of collection of image 2) image encryption algorithm 3) Edge 4) noise generated images (2) display images, understanding image model (3) the use of images in different formats, understanding the significance of image compression (4) image to do a simple experiment needs to operate the skilled use of the following MATLAB command: imread, imwrite, imshow, figure)

RAw格式图片的显示，边缘检测，包括SOBEL算子，具有不同模板的拉普拉斯算子边缘检测，以及一些简单的滤波方式(sadfsadf asdfasdf asdf)

这是一个利用导数光谱分析的方法检测特征吸收波段的源代码，可供从事高光谱图像处理的朋友分享。(This is a use of derivative spectroscopy method of the characteristic absorption band of the source code, available to engage in high-spectral image processing share.)

亚像素边缘检测，比像素级边缘检测更有精确(Subpixel edge detection)