jianju_tools-20170808-32

数字图像处理试验程序 包括图像的压缩 模糊 锐化(Digital image processing, testing procedures, including image compression blur sharpening)

应用最新算法freak算法的一个图像配准代码 c++可实现(Apply the latest algorithm freak algorithm image registration codes c++ can achieve)

漂亮的图标程序源代码(beautiful icon source code)

图形学中的透视投影算法 在屏幕中心绘制立方体的透视投影 可以绘制一点透视图 二点透视图 三点透视图(Graphics in the perspective projection algorithm for drawing a cube in the center of the screen you can draw a little perspective projection perspective two point perspective three-point perspective)

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.)

影像内定向程序编写，便于实习航摄影像的内定向(Orientation within the image programming, easy to practice within the aviation photography as directed)

用VB写的画出波纹的程序(Written by VB painted corrugated procedures)

数字图象处理算法的演示，包括：图象的DFT和逆DFT，图象的FFT和逆FFT，在图象中加入正弦噪声，图象的模板运算实现图象平滑和锐化等等。(digital image processing algorithms demo, including : Image DFT and inverse DFT, FFT image and inverse FFT, in the image by adding sinusoidal noise, the template image Operational Image sharpening and smoothing and so on.)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

将曲线轮廓中的B-样条曲线通过最小二分法转换成一组能保持曲线轮廓形状的小折线。这样，原有的字体轮廓数据就从用曲线轮廓表示转变为用多边形表示，即用一组点及其先后顺序来描述轮廓。(Profile to Polygon)