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这是一个详细的关于Vc++图像编程的ppt，希望对大家有帮助(This is a detailed on Vc++ Image programming ppt, hope everyone has to help)

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.)

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)

openCV中文版 附目录 本书主要介绍: 1.透彻介绍OpenCV 2.从摄像机获取输入 3.图像的变换 4.图像的分割和形状的匹配 5.模式识别，包括人脸检测 6.二维和三维场景中的跟踪监测 7.根据立体视觉进行三维重构 8.机器学习算法(the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm)

能够选取一幅图像，对其进行灰度处理。设置了几种不同的灰度处理方式。(You can an image, gradation processing them. Provided several different ways of gradation processing.)

说明：  由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩 色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。这种算法也是在图像的灰度尺度空间上检测特征点, 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算。(SIFT)

一个十分有用的SSIM图像评测程序，基于结构的客观评测。(A very useful measure SSIM image procedures, based on the structure of an objective evaluation.)

扫描线Zbuffer算法 1。算出模型的包围盒。 2．每条扫描线打点时并不是包围盒内整条线打点，而是先搜索需要刷新的范围， 只是该范围内打点。 (One scan line Zbuffer algorithm. Calculate the model bounding box. 2. Each scan line runs inside the box when not surrounded by the entire line runs, but first need to refresh the scope of the search, but the scope of RBI.)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)