medicalimageregistration

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

研华PCI-1711数据采集卡 AD转换VC++例程(Advantech PCI-1711 data acquisition card AD conversion VC++ Routines)

帧间差法实现视频对象的分割，进行运动目标的检测小程序。(The frame difference method of video object segmentation, moving target detection procedures.)

python语言，使用卷积神经网络的特征做图像检索(image retrieval using CNN)

说明：  实现图像模糊和恢复，有逆滤波恢复方法、傅里叶变换(Image blur and restoration are realized by inverse filtering and Fourier transform)

对图像进行修复，直方图均衡化处理，中值滤波和均值滤波(To repair the image, histogram equalization, median filtering and mean filtering)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

Downsample image console program using opencv.

说明：  很有用的图像显示的源程序，是图像处理方面比较好用的程序！(very useful images of the source, the image processing is more user-friendly procedures.)