MATLABimageprocess3

对微震图像进行去燥，利用同步压缩连续小波变换进行自动微震去噪和起始检测。(Denoising the microseismic image,automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform.)

Read one DICOM file with vtk bib

本软件能根据轧制工艺条件快速准确地计算出轧制力，并已经通过实际检测，与实际值误差在10％之内，建议教学轧制力时采用(software based on the rolling conditions quickly and accurately calculate the rolling force, and has adopted effective detection, and the actual value of the 10% error within the recommended teaching rolling force used.)

DNA比对中FASTA算法的简单实现，通过建立查找表、位移表和位移向量表来得出两条序列的最大匹配位移。(DNA matching the FASTA algorithm is simple to achieve, through the establishment of a lookup table, displacement and the displacement vector table to derive maximum matching two sequences displacement.)

snake例子，可以帮助初学者深入具体的对SNAKE 的架构和算法思想进行理解(snake example, can help beginners depth of the Snake concrete structure and algorithm for understanding)

对两幅RGB图像提取模糊颜色直方图进行比较，直接运行colortest就可得出结果 (RGB images of the two fuzzy color histogram to compare directly the results can be run colortest)

能同时显示24位图三色R、G、B的直方图(can also showed 24 Figure 3 color R, G, B Histogram)

说明：  能够按照特定轨迹移动并且变换颜色的长方体(Able to move the color of the rectangular transform)

卡尔曼和Camshift结合的源代码，很不错的哦，大家可以一试。。(Camshift Kalman and the combination of source code, very nice Oh, we can try to do. .)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)