515030910511 exercise1

此程序计算的是两幅图像的峰值信噪比，运行流畅(This program calculates the peak signal to noise ratio of the two images, run smoothly)

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

说明：  用Matlab读取RAW格式（单反相机）图片，然后进行插值处理并存为JPG格式图片。(Read RAW format using Matlab (SLR) picture, and then interpolated coexist as a JPG format picture.)

可以实现bmp图象的sobel边缘检测运算，并含有可图象重建功能。简单，易懂，使用了DIB接口，适合作数字图象处理的初学者作参考(Bmp images can be achieved sobel edge detection operator, and contains the reconstruction of functional images. Simple, understandable, the use of the DIB interface, suitable for beginners of digital image processing for information)

遥感图像处理源代码，包括遥感影像读入、几何校正、影像重采样等等(Remote sensing image processing code)

说明：  医学图像重建算法中OSEM算法的Matlab程序(MATLAB Program of OSEM Algorithms)

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

本工程收集了多种常用条码的生成方法

生成归一化植被指数(NDVI)数据产品及图象产品的IDL源程序(that GIS is likely to have own itself advantages in sample selection, presentation of findings and future record collation (Department for Environment, Food and Rural Affairs, 2007). It indicates that to imply GIS software for mapping hedgerows may a reasonable and good choice.)

本文中我们提出一个新颖的算法分析和 估计深度从单个图像捕捉到一个编码的孔径 相机。这是一个具有挑战性的问题,需要 新的工具和调查,而多视点重建。 (In this paper we present analysis and a novel algorithm to estimate depth from a single image captured by a coded aperture camera. This is a challenging problem which requires new tools and investigations, compared with multi-view reconstruction.)