cr36

用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)

Onvif设备搜索 示例源码

移动窗口算法平滑光谱矩阵，用于近红外等光谱数据的预处理(Moving window spectral matrix smoothing algorithm for near-infrared spectral data, such as the pretreatment)

基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)

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)

MSER算法的实现，功能齐全，思路清晰！值得研究图像处理的人员参考！(MSER algorithm implemented, the function is all ready, clearthinking! )

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

使用区域生长法对灰度图像进行分割，显示原图及分割后的图像(Region growing method using gray-scale image segmentation, image display artwork and divided)

基于扫描地形图的几何纠正算法研究。主要讲解了关于倾斜的数字图像的处理问题。(Scanned topographic maps based on the geometric correction algorithm. Mainly on the inclination to explain the deal with the issue of digital images.)

基于马尔科夫随机场的，例子学习超分辨率复原代码。(This is an implementation of the example-based super-resolution algorithm. Although the applications of MSFs have now extended beyond example-based super resolution and texture synthesis, it is still of great value to revisit this problem, especially to share the source code and examplar images with the research community. We hope that this software package can help to understand Markov random fields for low-level vision, and to create benchmark for super-resolution algorithms.)