optical_flow.tar

PCNN源代码,此为简化PCNN模型的实现原代码。(the source code of pcnn)

这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)

灰度图像图像锐化处理，拉普拉斯变换，梯度等(Grayscale image sharpening, Laplace transforms, gradients, etc.)

matlab语言，基于颜色特征提取的视频关键帧提取方法(matlab language, video key frame extraction method based on color feature extraction)

说明：  利用线性规划问题求解稀疏恢复问题的基追踪（basis pursuit，BP）算法，研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)

采用MFC，实现遥感图像的基本增强，滤波，变换等功能。还可以保存数据。(Using MFC, to achieve the basic enhancement of remote sensing images, filtering, transformation and other functions. You can also save data)

说明：  使用PCA将数据集降维，降维后将特征脸还原(Use PCA to reduce the dimension of the data set, reduce the feature face after dimension reduction)

这个matlab程序是基于纹理的图像检索源码，纹理特征是图像的基本特征特征之一，所以基于纹理的图像检索是图像处理的热点。(The matlab program is based on the source texture image retrieval, texture image is characterized by one of the characteristics of the basic features, so texture-based image retrieval is a hot image processing.)

一种新的基于snake模型的水平集图像分割方法：用matlab编程实现，可进行灰度图像的分割，里面有演示实例，便于学习。(A new snake model based on the level set image segmentation methods: using matlab programming implementation, can be gray-scale image segmentation, there are demonstration examples for study.)

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)