biaozhunchaandxinxishang

说明：  前馈神经网络图像去噪，DnCNN的MATLB实现，以及相应的峰值信噪比和结构相似性的计算。(DnCNN,MATLAB,And calculation of peak signal-to-noise ratio structural similarity)

图像分割方法，用区域生长，然后进行区域合并，把较小的区域合在一起，效果比较好(image segmation)

用Canny算子提取边缘 用Canny算子提取边缘(Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

说明：  example used in Python & VTK

说明：  基于matlab平台的fft加窗插值算法，适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)

生成拉盖尔函数、缔合拉盖尔函数，并根据这两个函数的解析表达式画出若干个拉盖尔-高斯光束模型(Generation of Laguerre functions, associative Laguerre functions, and according to the analytical expression of these two functions to draw a number of Laguerre- Gaussian beam model)

希尔伯特变换的matlab程序，用于在matlab中实现希尔伯特变换。(Hilbert transform matlab program )

等效视数表示遥感图像滤波后的滤波效果，这个程序可以计算等效视数。(Equivalent number of said filtering effect, this program can calculate the equivalent number of remote sensing images filtered.)

使用IDL实现对ENVI所支持的影像文件格式的数据拼接，不用打开栅格，从而避免内存消耗过大(IDL data stitching ENVI image file formats supported, do not open the grid, in order to avoid memory consumption is too large)