mohu_img_enhance

本程序包是关于图形处理和人脸识别的,包括人脸Gabor特征提取，canny算子，水线阈值方法等．大家可以一起参考(The package is on the graphics processing and face recognition, including face Gabor feature extraction, canny operator, waterline threshold methods. Together we can make reference)

基于活动轮廓模型的图像分割算法，具体算法细节，可以见压缩包中的论文(Based on Active Contour Model of image segmentation algorithm, the details of the specific algorithm, you can see the archive of papers)

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)

超宽带雷达信号二维FFT求速度和距离，速度补偿后的算法(Ultra-wideband radar signal 2D FFT for speed and distance, speed compensated algorithm)

对图像进行哈夫曼编码并且能够解码，可以在命令行中选择图像地址(Huffman encoding and decoding of images)

PIVlab - 时间分辨粒子图像测速（PIV）工具： 一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。 使用MATLAB网络研讨会进行人脸识别代码： 使用MATLAB在线讲座的人脸识别中的主要演示文件。 Gabor特征提取： 该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。 主成分分析： 用于特征提取； 链码： 基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool: A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data. Using MATLAB webinar for face recognition code: The main demo file is used in MATLAB online lectures for face recognition. Gabor feature extraction: The program generates a custom Gabor filter bank and uses them to extract image features. Principal component analysis: For feature extraction; Chain code: Surface contour description of Freeman based on MATLAB)

应用DCT字典和KSVD学习字典，对图像进行简单的修复，可行性较高，速度不是很快。(Simple image restoration is feasible and not very fast.)

说明：  利用matlab进行插值法亚像素边缘检测，提取零件轮廓(Subpixel edge contour extraction)

使用边缘跟踪，种子填充等算法提取图像边界，然后使用并行的方法来计算图像的距离图。(using edge tracking and seed filling algorithm to detect the edges of images, then use the parallel approach to the calculation of the distance between the image map.)

用模糊集方法进行图像增强，先对源图像做模糊化，然后在模糊平面上进行变换，最后再反模糊化，从而达到模糊集图像增强的目的。(Image enhancement using fuzzy set method, the first source image blurring, and then transform the fuzzy plane, and finally anti-blurring, so as to achieve the purpose of the fuzzy set of image enhancement.)