fast_distance_map_caculate

几何变换，包括图形的基本变化，以及计算机图形学中的算法(Geometric transformations, including changes in the basic graphics, and computer graphics algorithms)

强大的小波包分析程序，将信号分频分析，在感兴趣的频率域内抽取信号信息。(Powerful wavelet packet analysis procedures, the signal of frequency analysis, frequency domain of interest extracted signal information.)

几种常见的sar图像去噪方法，比如有frost滤波，lee滤波，卡尔曼滤波等。(Several common sar image denoising methods, such as there is frost filter, lee filter, Kalman filtering.)

C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)

小波滤波器设计和去噪matlab经典程序，给出了简单的滤波器设计，并用其进行了去噪处理(Wavelet filter designing and denosing)

I WANT SOURCE CODE FOR IMAGE SEGMENTATION

retinex算法的一个源代码，用于图像增强处理，能比较好的提高对比度(retinex an algorithm source code for image enhancement, to better enhance the contrast)

基于拓展RPC模型的多源卫星遥感影像几何处理 转化程序(RPC model-based development of multi-source remote sensing image processing conversion process geometry)

本程序主要实现暗背景下含高斯噪声的光斑滤除噪声，实现光斑中心提取。采用了sobel算子和梯度倒数加权滤噪、最大类间方差法（Otsu）确定阈值、质心法提取光斑中心坐标。(The program is mainly realized under a dark background Gaussian noise spot containing noise filtering, to achieve spot center extraction. Using sobel operator and gradient inverse weighting filter noise, Otsu method (Otsu) to determine the threshold, the center coordinates of the spot centroid extraction.)

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.)