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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.)

实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)

本代码是描述图像融合的一个综合性代码，其中包括对图像变换提升等一系列试验方案(The code is described in an integrated image fusion of code, including the transformation of images, such as a series of pilot programs to enhance)

关于信号分析，小波包分解的程序以及应用方法(The program about signal analysis, wavelet packet decomposition and its application method)

在视图窗口显现一个黑色的球体，背景为浅蓝色。颜色对比强烈(View window appear in a black sphere, as a light blue background. Strong color contrast)

数学形态学去噪 有效地还原了原始信号 去除了振动噪声和基线漂移(signal denoising )

平台基于visual studio2015，使用opencv函数实现高斯滤波，进行图像处理(gaussian blur based on opencv)

说明：  再来一个绘图程序，花了我一个上午时间才搞定。(then a drawing program, I spent a morning time to get.)

此程序为摄影测量的一个小环节，主要功能是求解影像畸变差，可根据相机内参数求解，简单实用(This program is a small part of photogrammetry, the main function is to solve the differential image distortion can be solved according to the camera parameters, simple and practical)

对静态图像应用canny算法提取边缘特征(The edge feature is extracted by canny algorithm of static image)