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Track_4
MAD相似性度量准则的改进，实现模板匹配程序(MAD similarity measurement criteria to improve and achieve template matching procedures)
- 2007-07-10 22:49:13下载
- 积分：1
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融合质量评价
说明： 可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)
- 2019-05-15 14:42:30下载
- 积分：1
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paper4
基于麦克风阵列的高信噪比定向采音系统_何强(Based on high SNR directional microphone arrays adopt sound system _ He Qiang)
- 2015-10-06 12:34:59下载
- 积分：1
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msr
实现retinex中的msr，关于雾天图像处理。(Msr in achieving retinex，Image processing on the fog)
- 2011-05-20 11:59:44下载
- 积分：1
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kernel-Function
利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显(Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification effect is more pronounced)
- 2013-07-24 19:20:48下载
- 积分：1
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quzaozengqiangheruihua
图像预处理的过程彩色图像去噪，彩色图像增强，彩色图像锐化(Image pre-process color image denoising, color image enhancement, color image sharpening)
- 2013-05-17 13:40:49下载
- 积分：1
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WPF 将Vista Aero效果扩展到整个窗口 示例源码下载
要正确运行Demo，你应该使用开启Aero效果的Vista版本
- 2013-10-05下载
- 积分：1
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sambhare
matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来 除m程序还包括测试图片、pdf文件、ppt文件、doc文档(matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file)
- 2008-05-11 15:24:41下载
- 积分：1
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CodeofOpenCV
《OpenCV基础教程》于仕琪主编，书中所有源代码下载，基于OpenCV的图像处理技术(" OpenCV-based tutorial," in Shi Qi editor of the book to download all the source code, based on OpenCV image processing technology)
- 2009-12-24 15:35:12下载
- 积分：1
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MATLAB指纹识别（GUI，比对两幅指纹，完美运行）
说明： 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
- 2020-02-16 22:03:11下载
- 积分：1
