read_image

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

图像分割算法，包括matlab代码，说明文档和运行结果截图(Image segmentation algorithms, including the matlab code, documentation and operating results screenshot)

很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)

进一步讨论怎么样进行虹膜眼睛的位置确认，区域生长法确定内圆轮廓(To further discuss how to confirm the position of the iris eye and determine the inner circle contour by region growth method)

说明：  主成分分析算法提取特征值，使用KNN分类器，K值可调(principal component analysis)

说明：  vibe算法实现，该算法是2011年提出，具有运行占用空间小的特性(Vibe algorithm, which was proposed in 2011, has the characteristics of small running space)

改程序是用来行人检测的，有源代码，可以轻松学习并参考。(The reform program is used for pedestrian detection, source code, you can easily learn and reference.)

说明：  图像拼接 采用SIFT+RANSAC的特征匹配方法实现图像拼接(Image mosaic is realized by SIFT + RANSAC feature matching method)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)

此文件是关于图像处理中灰度视频播放等相关知识的综合运用。(it is about the gray in image processing)