PTZVY57

一个vc编的图像处理的程序，处理不同颜色图像(a series of image processing procedures for handling images in different colors)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

关于CCD相机的选型，帧率，幅宽，曝光时间(CCD CAMERA)

本程序包括图像的几何变换、图像的灰度变换、图像的空域增强、图像的频域增强、图像的形态学处理、图像的分割和区域增长、还有图像的数字识别等一系列有关图像的基本操作和处理。(This procedure including the image geometric transform, the image gradation transformation, the image air zone strengthens, the image frequency range to strengthen, image morphology processing, the image division and the region grows, also has the image digital recognition and so on a series of related image elementary operation eo and processing. )

数​ 字​ 图​ 像​ 处​ 理​ 中​ 的​ b​ p​ m​ 图​ 像​ 读​ 取(Digital image processing of the image b p m reading)

26个不同影像处理程序,以VC++开发,是了解影像入门好帮手(26 different image processing procedures to VC++ Development is helpful to understand the image entry)

边缘检测 的 matlab粒子群程序序源码 ，希望对你有所帮助 (Edge detection matlab particle swarm procedure sequence source, you want to help)

说明：  简单的数字图像处理程序，实现灰度化，二值化，边缘检测等(Simple digital image processing program, graying, binarization, edge detection, etc....)

该代码，利用GDAL 1.4.2库实现遥感图像的几何校正、图像配准等，vs 2010实现。(The code GDAL 1.4.2 library implementation of remote sensing image geometric correction, image registration, vs 2010.)

一种基于non-sample的纹理合成demo，程序性能还有待优化，效果还不错.(texture synthesis demo.)