compare_segmentations

bandelet 去噪，包含blsgsm和平移不变去噪，不过对大图像需要的内存比较大(bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory)

IDL实现modis数据的辐射校正 修改文件路径即可用(IDL achieve modis radition correction Modify the file path can be used)

图像工程作业3：基于视词袋模型的场景识别 (Scene recognition with bag of words)(Image Engineering Job 3: Scene Recognition Based visual bag of words (Scene recognition with bag of words))

用matlab实现的表面质量检测的程序，主要检测图像缺陷，并标示出缺陷位置，工业生产过程中亦都有用。(Using matlab to achieve the surface quality inspection procedures, the main defect detected image, and mark the location of the defect, the industrial production process also has a use.)

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

利用霍夫曼编码对图像进行编码及解码，计算霍夫曼编码效率(huffman encode and decode)

由图片对应点数据计算穆勒矩阵，并对其进行极分解，求得其3个分项，同时计算其各项指标参数(The Muller matrix is calculated by the corresponding data of the image, and the polar decomposition is carried out to obtain the 3 sub items, and the index parameters are calculated at the same time)

用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)

交通视频车辆检测，实现步骤为： 1.读取视频文件 2.利用图像提取相关算法检测单帧图像中的车辆 3.车辆检测算法应用于视频图像中 4.将结果可视化(Traffic video vehicle detection, the steps of: 1. Read the video file 2. Image extracting the vehicle in a single image of the correlation algorithm detecting vehicle detection algorithm applied to the video image. Results visualization)

数字图像水印，使用小波变换进行水印的添加和提取。matlab源代码。wm_embed.m嵌入。wm_extract.m提取。(Digital image watermarking, the use of wavelet transform to add and extract the watermark. matlab source code. Embed wm_embed.m. wm_extract.m extraction.)