Coloring-Problem

这是基于图论的图像分割源代码，效果很好，欢迎下载.(This is based on graph theory image segmentation source code, works well, welcome to download.)

matching algorithm based on SIFT algorithm, extract feature points in use of Harris corner detection algorithm

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)

文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)

对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). (Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), then statistical coefficient in the number (expressed as a percentage) and to reconstruct the final calculation reconstructed image of the peak signal-to-noise ratio (PSNR).)

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

说明：  可以实现背景和目标的分离,效果还是不错的(about matlab programe)

分水岭算法的实现，能自动对图像进行分割，任何图像都能够读取(Watershed algorithm, can automatically split the image)

引导滤波器，在引导图像的引导下对输入图像进行滤波，这种新型滤波器对边缘的保持很好，而且运行计算量和核的大小无关(Guide filters, under the guidance of the guide image filtering the input image, the edge of this new type of filter to keep well and run the calculation regardless of the size and nuclear)

说明：  特征检测与匹配的目标是识别一个图像中的关键点与另一个图像中的对应 点之间的配对。(The goal of feature detection and matching is to identify the key points in one image and the corresponding points in another image)