RGB格式图像转YUV

从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)

用于BMP图像文件的滚动显示，带上下和水平滚动条。(This file is used to display BMP image files, with up-down and horizontal scroll bars.)

说明：  Latent SVM算法实现行人检测opencv(Latent SVM Pedestrian Detection Based on Algorithms opencv)

关于运动目标检测与跟踪最新的算法 其效果比之前的跟踪算法好很多(The effect of moving target detection and tracking algorithm is much better than before the tracking algorithm)

说明：  给定两张图片，利用ssim来计算两张图片他们之间的ssim相似度(compute ssim between two images)

迭代最佳阈值分割算法，寻找最佳阀值检测边缘(best iteration threshold segmentation algorithm to find the best edge detection threshold)

采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推，得到期望的复原图像。(The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.)

Zernike矩是一种具有尺度、移位和旋转不变性的正交不变矩，本设计的目的就是利用Zernike不变矩设计一种图像检索系统，该系统能够充分验证Zerinike矩的不变性及其在图像检索中的优良性能。具体内容包括： (1) 图像特征提取、统计特征提取； (2) Zernike不变矩及其应用方法； (3) 基于Zernike不变矩的图像检索系统。 (Zernike moments is a scale, shift and rotation invariant orthogonal invariant moments, the purpose of this design is the use of Zernike invariant moments design an image retrieval system, the system can fully verify Zerinike moments invariance and itsexcellent performance in image retrieval. Specific content includes: (1) image feature extraction, statistical feature extraction (2) Zernike invariant moments and its application method (3) based on Zernike Moment Invariant image retrieval system)

使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)

运用MAD相似性度量准则实现模板匹配程序(use MAD similarity measurement criteria to achieve template matching procedures)