3DBP

这是一些关于特征配准和融合的一些文章，对做这一方面的应该有所借鉴(which is a characteristic of fusion and registration of some articles, so in this respect there should be some reference)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

为方便土地利用总体规划编制单位制作土地利用总体规划图件，针对市、县、乡三级土地利用总体规划制图，制作市、县、乡土地利用总体规划必选图件的图式符号库。该图式符号库适用于ArcGIS软件平台下的图件制作(In order to facilitate the land use master planning units to make land use master plan maps, for the city, county, Township three-level land use master plan mapping, the city, county, Township land use master plan must be selected map schema symbol library. The graphic symbol library is suitable for map making under the ArcGIS software platform.)

把图像导入后，可以实现对图像的huffman编码(Import the images, you can realize the image of the huffman encoding)

使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling contest.)

区上古湖北天使来告诉大家一个结旧时的在做的额为都是垃圾 图像融合程序，论文见： 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法.自动化学报，Vol.34, No.12, pp: 1508-1514.Dec.2008. Matlab Image Fu...

这是运动估计的自适应算法的代码，可以下载来看看学习参考。。。。(。。。。。。。。。。。。。。。)

图像拾取演示，精选ios编程学习源码，很好的参考资料。(Image pickup demonstration, selection of learning IOS programming source code, a good reference.)

利用Orb算法实现图像特征点的提取，并且通过前后两帧之间的特征点进行特征匹配，为视频稳像、图像融合以及图像识别提供前提条件。(Detecting feature points using Orb algorithm, then matching the points with the detected points frames.That method provide one new way to video stablization ,image fusion and image recognition etc. )

数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。 含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)