实现给定图像中目标的有效监测

图像质量评价经典算法，ssim算法评价图像质量好坏程度的度量(Image quality assessment of the classical algorithm, SSIM algorithm.A measure of the degree of image quality )

文档介绍了大量离散实验数据的平滑滤波处理方法(Document describes a large number of discrete experimental data smoothing filter processing method)

说明：  水平集图像分割方法的一个经典DEMO，05年CVPR上的文章的实现程序，无偿呈现(Level set image segmentation methods of a classical DEMO, 05 years CVPR articles realization procedures, free show)

可以画 花骨朵、花蕾、花朵等效果 一枝梅花等你来画哦 小游戏

实现了Thien在他的文章《secret image sharing》中提出的（r，n）门限秘密图像分存方案。 (Thien in his article " secret image sharing" (r, n) Door Threshold Secret Image Sharing Scheme.)

k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))

实现阈值图像分割，用全局阈值，OTSU和迭代法求阈值(Achieve the threshold image segmentation, the threshold required by the global threshold, OTSU and iterative method)

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.)

基于小波变化的边缘检测程序 matlab的m代码 效果不错(Wavelet transform edge)

实现图像匹配，ssda算法，自主截图选择匹配位置(To achieve image matching, ssda algorithm, self-selection match position screenshots)