能够完整实现运动物体的检测ydpd.dsp This file (the project file) contains information at th...

利用openCV的相关函数实现对图像的形态学操作-Use of the correlation function of the realization of openCV image morphology operation

ITK 是美国国家卫生院下属的国立医学图书馆投入巨资支持三家科研机构开发 医学影像分割与配准算法的研发平台，现已开发了初步版本。是医学影像算法平台的 重要组成部分。 -Itk are affiliated with the United States National Institutes of Health National Library of Medicine invest huge sums of money to support the three research institutions to develop medical image segmentation and registration algorithm R

这是一个图像融合程序，在VC下编写的，很有使用价值-This is an image fusion procedure, in the VC prepared, very useful

图像色彩调整与处理VC++，编译OK。 具体包：亮度，比对度，色彩分离，Gamma调整，灰度转换-Image color and adjust treatment VC++, Compiled OK. Specific package: brightness, than on the degree, color separation, Gamma adjustments, grayscale conversion

track1.m是二值图像边界跟踪的主程序，boundary_trace.m是二值图像边界跟踪的调用程序，完成图像的边界跟踪。 track2.m是灰度图像边界跟踪的主程序，boundary_trace2.m是灰度图像边界跟踪的调用程序。-track1.m is a binary image of the main border track, boundary_trace.m is a binary image border call tracking procedure to track the completion of the border image. track2.m gray image is the border of the main track, boundary_trace2.m is a gray image boundary tracking procedure call.

利用直方图均衡的方法改善图像质量matlab程序-use histogram equalization method to improve image quality procedures Matlab

一个pcnn方面的程序，比较原始，但是效果好-A PCNN procedures, more original, but effective

SAR数据分解程序，分解为H,A,alpha分量，为SAR影像提供了较多的信息，有利于SAR影像特征提取-SAR data decomposition process, decomposition for H, A, alpha component for the SAR images provide more information and is conducive to SAR image feature extraction

这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need. Gabor transform can be achieved in a number of scales, a number of position on the transformation, especially for the detection of texture have very good results, the study shows that the characteristics in line with Gabor receptive field characteristics of the human eye.

配套专业版源代码软件DIPA功能简介 与《实用图像处理与分析》配套的源代码软件DIPA是一套完全可执行的VC++界面源代码，界面内容除了图像的表示、读入、保存、彩色变灰度以外，还包括图像的2值化处理、微分变换、几何变换、彩色变换、参数测量、傅里叶变换、小波变换、Hough变换、模式识别、神经网络、遗传算法、图像压缩等功能，提供有近100个图像处理与分析函数的源代码。该软件主要适用于图像处理的教学和科研-Supporting the professional version of the software source code About Dipa functional and practical image processing and analysis, the source code of the software package Dipa is a fully executable VC++ Interface source code, interface elements in addition to images that read, preserve, gray color change also includes image processing of 2 values, differential transform, geometric transformations, color transform, parameter measurement, Fourier transform, wavelet transform, Hough transform, pattern recognition, neural networks, genetic algorithms, image compression, etc. function, provided there are nearly 100 image processing and analysis function of the source code. The software is mainly applied to image processing teaching and research