图像分块

说明：  这是我编写的关于计算机视觉中的一种重要的变换---射影变换的matlab源代码，希望对您有用。(This is what I prepared on computer vision in an important transformation of the projective transformation--- matlab source code, I hope useful for you.)

7主动轮廓模型的一种初始轮廓设定方法.PDF(An initial outline of seven active contour model setting method)

说明：  简单的Canny边缘检测程序，另外包含霍夫变换检测道路直线。(Simple Canny edge detection procedures, including Hough transform detection of road lines.)

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.)

一个简单的HALCON计算圆心坐标的例子，C++代码格式，初学者适用！(A simple example of calculating coordinates HALCON, c++ code format, for beginners!)

MCA，形态成分分析，广义图像处理，图像分解，图像降噪处理。(gmcalab fgmca.m imnb.m sparse_noisy_examples.m)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

使用Visual C++编写的生成三次Hermite曲线的源代码。(Bicubic Hermite code in Visual C++.)

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

用DHNN （离散Hopfield网络）存储6幅图像作为联想记忆信息，然后对图像进行加噪处理，用所设计的DHNN进行图像复原，给出结果。(Storing DHNN (discrete Hopfield network) six images as associative memory information, and then add noise to the image processing, image restoration designed with DHNN, shows the results.)