Image-region-annotation-semantic

图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高(Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve the correct rate)

有关vtk的一些pdf资料，包括： 1.和国外一些朋友讨论VTK的一些经验的整理 2.基于VTK的医学三维可视化分析系统 3.基于VTK库的医学图像处理子系统设计和实现 4.可视化工具VTK技术研究(Some of the vtk pdf information, including: 1. And some foreign friends to discuss some of the experiences of the order VTK 2. VTK-based visualization of the medical system 3. VTK library based on medical image processing subsystem design and implementation 4. visualization tools VTK Technology)

锐化效果显示图像 例子

图像处理-人脸识别技术：识别出图像中人物的五官形态，从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)

Computer Vision:Algorithms and Applications，Richard Szeliski，适合图像处理人群(Computer Vision: Algorithms and Applications, Richard Szeliski, suitable for image processing crowd)

Timesat3.2，用于遥感影像的NDVI时间序列分析，提取物候参数。 (Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.)

IDL关于图像感兴趣图像区域进行编辑并将结果输出，多ROI区域DN值信息比较(IDL about the region of the image interested in editing and exporting the results, and comparing the DN value information of the multiple ROI regions)

说明：  使用python中的opensilde库对tiff格式图片进行分割。(TIFF format image segmentation.)

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

图像识别起步。裂纹图像二值化及其骨架提取算法.(Image recognition.Crack image binarization and skeleton extraction algorithm is proposed.)