Unit7SDG

图像拾取演示，精选ios编程学习源码，很好的参考资料。(Image pickup demonstration, selection of learning IOS programming source code, a good reference.)

这个事关于Computer Graphics （计算机图形学）的教学代码！！！(The thing about Computer Graphics (computer graphics) teaching the code! ! !)

说明：  在大图中寻找到小图。 并圈出小图所在位置。 图片用picture控件显示。(In the big picture to find a small map. )

说明：  基于MATLAB的行人检测。直接运行imhogtrace主程序，即可得到运行结果。针对不同的图像，需要调整参数，我放的这张图，虽然效果不好，但是可以提供参考意义(Pedestrian detection based on MATLAB. Run the main program of imhogtrace directly to get the running result. For different images, parameters need to be adjusted. Although the effect of this picture I put is not good, it can provide reference significance)

说明：  用matlab语言实现的图像平滑算法，效果较好，可设置不同的参数得到不同的平滑效果(Matlab language used to achieve the image smoothing algorithm, the effect is better, you can set different parameters of the smoothing effect of different)

这是本人开发的一个课题软件，主要用于点细胞识别与轨迹追踪! 具有 很好的研究价值，里面运用 图像处理（很多种）函数的 编写与调用！！ 估计仅此一个项目代码，版主就应该给我特殊鼓励的！(err)

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.)

pca算法，用于数据降维，注释非常详细清晰，(PCA algorithm, for data dimensionality reduction, clear and very detailed notes,)

使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling contest.)

IMDCT的matlab实现算法,采用递归结构，嵌套循环，作为硬件实现的Gold(IMDCT in matlab platform)