weicaise

图像融合的各种方法，包括IHS变换，PCA变换，小波变换等等(Various methods of image fusion, including IHS transform, PCA transform, wavelet transform, etc.)

说明：  注：运行前自己准备图像，修改I = imread('')单引号中的路径 1. 给一张灰度图添分别添加高斯噪声和椒盐噪声。然后分别进行均值滤波和中值滤波，并把处理后的图片保存。 2. 图像频域处理，对图像进行傅里叶变换，进行高通滤波，显示处理结果。 3. 图像平移和旋转 4. 分别用OSTU阈值法和全局阈值法分割图像，然后进行腐蚀和膨胀处理，显示处理结果。(Note: Prepare the image by yourself before running, modify the path in single quotes of I = imread('')1. Add Gaussian noise and salt and pepper noise to a grayscale image. Then perform mean filtering and median filtering respectively, and save the processed pictures.2. Image frequency domain processing, Fourier transform of the image, high-pass filter, and display the processing result.3. Image translation and rotation4. Separate the image with OSTU threshold method and global threshold method, and then perform corrosion and dilation processing, and display the processing results.)

WAVEPASTE将系数放在小波分解结构中。(WAVEPASTE Puts coefficients in a wavelet decomposition structure.)

matlab运动目标检测代码，应用了高斯混合滤波。(something useful for matlab)

本代码实现了对高光谱遥感图像进行混沌序列置乱加密，其中包括读取三维立体遥感图像、混沌加密以及灰度直方图绘制(This code implements the hyperspectral remote sensing images chaotic sequence of scrambling encryption, including reading the three-dimensional sensing image, and histogram drawing Chaotic Encryption)

RokcetChip firmware image tools

给出了灰度图像（256*256大小）的三层高斯和拉普拉斯金字塔分解的程序和实现方法。内容包括：1.matlab源码，亲身实践，因为论文需要，自己专研的。完全可用。2.国外最先最权威的关于分解原理介绍的文章。以上两个内容中都有本人的悉心注释和思路总结，内容详尽。3.图示结果(code and principle of laplacian pyramid decomposition of a gray scale image are provided in the article.Contents are given in detail including the notes and usage. )

灰度共生矩阵 图像纹理特征提取 matlab语言编写(GLCM texture feature extraction matlab language)

自己编的nsct和pcnn结合的融合程序,简单易懂，pcnn采用的不是改进型的，传上来供大家参考，运算复杂，出结果很慢。(A fusion algorithm based on NSCT-PCNN.It is easy to understand,but the quantity of arithmetic is large, and it costs a long time.)

这是用于人脸识别和人脸定位的主动形状模型（asm）matlab工具箱。推荐(This for face recognition and facial shape positioning initiative model (asm2) Matlab toolbox. Suggest)