基于内容的图像检索优秀硕士学位论文,原收费资源

Colour Engineering Toolbox

高斯背景建模的C++程序，里面有用到OPENCV。-Gaussian background modeling C++ Procedures, which useful to OPENCV.

图像的一维、二维快速傅里叶变化和反变化，可对图像一般低通滤波、ButterWorth低通滤波、一般高通滤波、ButterWorth高通滤波-Image of one-dimensional, two-dimensional fast Fourier change and anti-change, the image may be a general low-pass filter, ButterWorth low pass filter, the general high-pass filtering, ButterWorth high-pass filtering

图像处理常用算法程序，包括灰度变换、边缘检测、形态学预算，用VC实现-Image processing algorithms commonly used procedures, including gray-scale transform, edge detection, morphology of the budget implementation by VC

直方图修正和彩色图像变换源代码!很适合搞彩色图像处理朋友的下栽-Histogram correction and color image transform source code! Very suitable for color image processing下栽Friend

并行磁共振成像经典算法sense，很不错，对于研究并行磁共振成像绝对有帮助-New theoretical and practical concepts are presented for considerably enhancing the performance ofmagnetic resonance imag-ing (MRI) by means of arrays of multiple receiver coils.

基于遗传和蚁群混合算法的图像配准算法 需要利用matlab遗传工具箱-Based on genetic and ant colony algorithm for hybrid image registration algorithm need to use genetic toolbox matlab

This file contains a summary of what you will find in each of the files that make up your Tracker application.-This file contains a summary of what you wil l find in each of the files that make up your Track er application.

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

ISAR雷达成像，采用距离－多普勒处理得到目标的图像-ISAR radar imaging, the use of distance- Doppler processing target image