1-s2.0-S0925753510002559-main.pdf

图像处理的指针式仪表识别，利用OPENCV库，MFC对话框程序(Image processing pointer instrument identification, the OPENCV libraries, MFC dialog program)

图形处理的部分，能进行图像的中值过滤处理(To the median filter for image processing)

英文原本经典计算机图形学教程，PPT格式，很好的学习材料和上课资料(English was the classic computer graphics course, PPT format, good learning materials and school information)

基于VC++的图像处理类，可以用于bmp文件的读写，显示(Based on the image processing VC++ classes that can be used to read and write bmp files, display)

使用QT编程实现2D图像处理的各功能，包括彩色图转灰度、二值化、二值的形态学操作、灰度的形态学操作等等。(Using QT programming each 2D image processing functions, including color conversion grayscale, binary, binary morphological operations, grayscale morphological operations and so on.)

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

说明：  vc++调用matlab函数混合编程实现二值图像的区域标记。(vc++ call matlab function Matlab binary image of the regional markers.)

VS 环境下利用opencv 实现图像的傅里叶变换，输入图片，保存输出结果。(Under VS environment use opencv to achieve image Fourier transform, the input image and save the output.)

1990年—adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution.pdf