图像去雾算法质量评价标准evaluation

对图像矩阵进行zigzag扫描,从而达到对图像纹理（灰度值）置乱的效果。( scanning of the image matrix by Zigzag，To achieve the scrambling effect of the image texture (gray value).)

图像的各向异性扩散，利用matlab实现Perona_Malik算法，梯度阈值K通过对图像求解2-范数的方法迭代获得(Anisotropic diffusion images, using matlab to achieve Perona_Malik algorithm, the gradient threshold images by solving the K 2- norm method will be obtained)

一套使用全变分方法进行图像去噪处理的图像源代码(MATLAB),算法结果性能优良,适用范围广泛.(Use a variational method for image denoising images deal with the source code (MATLAB), the results of algorithm performance, the broad scope of application.)

从一幅多个细胞的图像中，分割出单个的细胞，一个细胞一个小图。(more than one cell from the image, segmentation of individual cells, a cell a small map.)

本文主要是针对传统混合高斯模型运动目标检测算法的不足做出了一些改进(This article is for the shortcomings of traditional Gaussian mixture model moving object detection algorithm made some improvements)

遥感图像运用6S工具来进行大气辐射校正处理(Atmospheric Radiation Correction Processing Using 6S Tool for Remote Sensing Images)

bag of words 图像识别算法，斯坦福大学李飞飞实验室做的demo(bag of words)

用matlab编写的区域生长法的程序，通过选择种子和阈值，可以进行图像分割和检查瑕疵(Written by matlab region growing process, by selecting the seeds and thresholds for image segmentation and inspection for defects)

一种针对光照不均且低对比度环境下的水下图像增强算法。(Underwater image enhancement algorithm in a low contrast environment)

说明：  SDK_key: 人脸追踪(FT) Key 5qTrdeA43zdBXJZt7HM1x1wX9XGt7QicRU6Nt8rXLQAn 人脸检测(FD) Key 5qTrdeA43zdBXJZt7HM1x1weJvY2koYyzGARH6wVoTVw 人脸识别(FR) Key 5qTrdeA43zdBXJZt7HM1x1wmUKoEpvhgJYHd5xAsFig3 年龄识别(Age) Key 5qTrdeA43zdBXJZt7HM1x1xPHL78Ekcog6LU5iNCCNLj 性别识别(Gender) Key 5qTrdeA43zdBXJZt7HM1x1xWSjNHHcbTHHP9VuHLX1rf 此处APP_Id与SDK_Key仅适用于ArcFace v1.1， 不适用于其他版本。(DK_key: Face Tracking (FT) Key 5qTrdeA43zdBXJZt7HM1x1wX9XGt7QicRU6Nt8rXLQAn Face Detection (FD) Key 5qTrdeA43zdBXJZt7HM1x1weJvY2koYzGARH6wVoTVw Face Recognition (FR) Key 5qTrdeA43zdBXJZt7HM1x1wmUKoEpvhg JYHd5xAsFig3 Age Identification (Age) Key 5qTrde A43zdBXJZt7HM1x1xPHL78Ekcog 6LU5iNCCNLj Gender Key 5qTrdeA43zdBXJZt7HM1x1xWSjNHcbTHHP9VuHLX1rf Here APP_Id and SDK_Key are only applicable to ArcFace v1.1, not to other versions.)