sitay_calculating

两幅图像匹配，可以实现图片的缩放，旋转，灰度变换，压缩包内含有图片文件(picture matching)

一个可看球形全景图片和柱形全景图片的开源工程源码(One can see spherical panoramic images and cylindrical panoramic images of the open source project code)

说明：  平面拟合，RANSAC拟合方法，关于平面重构，画示意图，计算法向量(Plane Fitting and RANSAC Fitting Method)

说明：  matlab控制摄像头自动定时拍摄,内含目标检测源代码(matlab control the camera auto-timer shooting, containing the source code for target detection)

说明：  图像处理方面的简单程序，可以实现图片的大小转换，从而制作自己的图像模板(make your own picture)

基于keystone变换校正距离走动的机载预警雷达高速运动目标动目标检测方法(High-speed moving target moving target detection method based on keystone correction transformation walking distance airborne early warning radar)

说明：  处理在圆极化入射下的聚焦电场和相位。通过去除掉入射电场，把x,y,z分量的电场合成交叉极化的圆偏振电场，看到更好的聚焦效果(It deals with the focusing electric field and phase under circularly polarized incidence. By removing the incident electric field and synthesizing the X, y, z component electric field into the cross polarized circular polarized electric field, we can see the better focusing effect)

sift Algorithm made by David Lowe sift demo

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)

说明：  分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。 分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。(The watershed algorithm is an image region segmentation method. In the segmentation process, it will use the similarity with neighboring pixels as an important reference basis, so as to connect pixels that are close in space and have similar gray values to each other. Forming a closed contour, closedness is an important feature of the watershed algorithm. This example applies to 2D and 3D images, calculates the watershed transformation and displays the resulting label matrix as an RGB image.)