jQueryUploadifyDemo

关于在图形图像处理过程中纹理特征提取方法的介绍(About in the process of image processing texture feature extraction method is introduced)

颜色预测模型评估,印刷品质量检测技术,实现光谱分析，检测色彩偏差(color model assessment, print quality inspection technology, spectrum analysis, color deviation detection)

在对话框中实现splitter(achieve splitter)

点云三维重建中需要用的法向量计算，能够有效避免法向量不一致的问题，更好进行三维重建。测试有用。(Normal vector calculation point cloud reconstruction in need, and can effectively avoid the problem of inconsistent normals, better three-dimensional reconstruction. Useful for testing.)

小波包分解，求能量程序，，对小波包的了解掌握都很有用，希望对读者游泳(the wavelet packet decomposition and energy distribution )

基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。(OpenCV based hough transform to detect linear image, the code can identify seam tracking.)

一个类似ACDSee的看图工具，可以察看很多种格式的图形文件。由ISee开发组提供(ACDSee pictures of a similar tool, you can see a variety of graphics file formats. ISee provided by the development team)

对复杂边缘检测的Snake改进算法.pdf，snake算法(Complex Snake improved edge detection algorithm. Pdf, snake algorithm)

说明：  虚拟内窥镜关键技术研究 虚拟内窥镜技术（Virtual Endoscopy）是虚拟现实技术在现代医学中 的应用。它利用医学影像作为原始数据，融合图像处理、计算机图形学、科 学计算可视化、虚拟现实技术，模拟传统光学内窥镜的一种技术。它克服了 传统光学内窥镜需把内窥镜体插入人体内的缺点，是一种完全无接触式的检 查方法。虚拟内窥镜的研究旨在为医生提供诊断依据，还可应用于辅助诊断、 手术规划、实现手术的精确定位和医务人员的培训等。(Research on key technologies of virtual endoscopy virtual endoscopy (Virtual Endoscopy) is a virtual reality technology in modern medicine. It has made use of medical imaging as an original data, the integration of image processing, computer graphics, scientific visualization, virtual reality technology to simulate a conventional optical endoscope technology. It overcomes the traditional optical endoscope to be inserted into the endoscope body of the shortcomings of the human body is a no-contact inspection method. Virtual Endoscopy of the study was to provide diagnosis for doctors, but also applies to diagnosis, surgical planning, to achieve precise positioning of surgical and medical personnel training.)

使用二維的傅立業轉換，在以反傅立業的方式，將結果以影像話方式呈現。(Industry use of two-dimensional Fourier transformation, anti-Fu Li industry in the way of results, then the way to show images.)