iterative_blind_deconvolution

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)

Face recognition system based on Eigenface, written in Matlab, including the paper which has present the structure and each component in detail. Hope it will be useful!

·外部图片自动保存在本地 ·自动控制上传图片和本地化图片尺寸 ·自动给上传及本地化图片添加水印 ·自动提取首张图片为缩略图 ·自动生成任意大小缩略图 ·幻灯片模式图片展示页 ·模板分离设计,轻松设计模板 ·方便自由的模板方法,可以实现复杂多样的调用效果 (External image automatically saved in local Automatically upload pictures and localization image size Automatically upload and localize the image to add watermark Automatic extraction of the first picture thumbnail Automatically generate thumbnails of any size. - picture slide show mode. - separation of design templates, easy design templates Convenient free template method, can realize the complex effect of call)

对图像的融合结果进行评价，有均值，标准偏差，熵，梯度，相关系数，光谱扭曲度(Image fusion results of the evaluation, there is the mean, standard deviation, entropy, gradient, correlation coefficient, spectral degree twist)

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

在成像平台运动的情况下通过对因为平台运动的补偿实现目标运动信息获取(Imaging platform in the case of movement of movement as a platform to achieve the objectives of the compensation information acquisition campaign)

本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。(This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc.)

snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)

一种自适应Canny边缘检测算法的实现，含对应文献及图片(adaptive edge detection based on canny algorithm)

视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除(Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels )