edge_forcing

数字图像处理有关于图像去雾的新型算法与实现(There are new digital image processing algorithms on the image to go to the fog and Implementation)

说明：  非常好用的基于各种常用滤波器的图像平滑算法(Translate From: Chinese To: English EnglishChineseArabicTranslate text or webpage 非常好用的基于各种常用滤波器的图像平滑算法 Translate from: Japanese Allow phonetic typingType text or a website address or translate a document. Cancel Fēicháng hǎo yòng de jīyú gè zhǒng chángyòng lǜbō qì de túxiàng pínghuá suànfǎEnglishSpanishArabicAlpha Very easy to use image smoothing algorithm based on a variety of commonly used filters)

基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.)

基于MATLAB对输入图像的进行灰度化处理(Grayscale processing of the input image based on MATLAB)

基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的(This paper proposes a powerful and robust local descriptor,called textureorientation descriptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more short, fragmentary and vertical edges, the proposed TOD descriptor encodes the spatial information of pedestrian image. We combine the proposed TOD representation model with mean shift framework to perform pedestrian tracking. Results from experiments show the improved performance of the proposed algorithm, in the scenarios of heavy occlusions, illumination variations and similar objects interference, when compared with the other descriptors based trackers.)

AForge.NET-sample

经典的斑块分析算法，计算Blob的源码，算法很好。(Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.)

利用matlab实现基于内容的图像检索 (Using matlab content-based image retrieval )

说明：  本程序是用来做图像编码的，主要采用的算术编码的思想(This procedure is used for image coding, the main idea used in arithmetic coding)

基于CFAR虚警率的图像分割算法，可快速对灰度图像进行CFAR检测分割。(Based on the false alarm rate of CFAR image segmentation algorithm, the gray image can be fast CFAR detection and segmentation.)