svm

数字图像处理源代码绝对好用包括一些最基本了图像处理，例如增强(digital processing)

说明：  Gabor滤波器的MATLAB实现，可用于边缘检测(Gabor filter by matlab)

有关粒子滤波及其改进算法的资料，对初学粒子滤波算法的人很有帮助(Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm )

用matlab做的基于小波降噪和自适应滤波的程序，已经调试可以使用。(Program based on wavelet noise reduction and adaptive filtering using matlab, debugging can use.)

active_demons配准算法,附加几个评价参数！(Active_demons registration algorithm, add several evaluation parameters!)

使用QT编程实现2D图像处理的各功能，包括彩色图转灰度、二值化、二值的形态学操作、灰度的形态学操作等等。(Using QT programming each 2D image processing functions, including color conversion grayscale, binary, binary morphological operations, grayscale morphological operations and so on.)

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.)

discrete hartley trnasform paper

对RGB图象的处理,一般要进行增强以达到去噪,锐化的功能,本程序在拉普拉斯算子基础上实现的(RGB images of the treatment, the general should be enhanced in order to achieve de-noising, sharpening function, the procedures in the Laplacian, based on the)

这里的图像增强包括灰度修正、平滑、滤波、锐化等，是图像处理的基本操作，本代码调试通过(Here, including gray-level correction image enhancement, smoothing, filtering, sharpening, etc., is the basic image processing operations, the code debugging by)