contourlet_toolbox

使用Splitting算法和GLA算法实现对图像的矢量量化及重新编码和重建。(Vector Quantization:To generate a 16-codeword codebook using Splitting Algorithm and GLA,then use this codebook to code the training image and reconstuct it.)

图像拼接 sift 特征点，两幅图像进行拼配 拼接，先找找出特征点匹配(The image stitching， sift feature points, two images blending splicing find someone to identify the characteristics of point matching)

快速角点检测，对学习角点检测同学应该有帮助。(Fast corner detection, detect students learning corners should help.)

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).)

该程序是发表在IEEE上的经典直线提取论文“Extracting Straight Lines”的源代码实现，对计算机视觉、模式识别和信息提取等领域的科学研究人员具有极其重要的参看意义。建议下载学习和适用。(The program is published in the IEEE paper on the classic straight-line extraction " Extracting Straight Lines" the source code implementation of computer vision, pattern recognition and information extraction and other areas of scientific researchers see an extremely important significance. Recommended to download to learn and to apply.)

能比较全面的图像处理系统。主要内容包括：位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码(can more comprehensive image processing system. Main contents include : bitmap based, image display, image geometry transformation, gray transform, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphology, Image Transform and application processing, image synthesis, 24-bit color image processing, JPEG image compression coding)

对火焰惊醒提取轮廓 并求取周长面积 圆形度(Woke up on the flame contour extraction and the degree to strike a circular perimeter area)

根据图像色彩信息，寻找图像的质心，以便对目标的跟踪(The image color information, look for the image of the center of mass to the target track)

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

说明：  matlab绘制，非线性分叉图，非线性动力学(Matlab drawing, nonlinear bifurcation diagram, nonlinear dynamics)