搜索资源列表
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- 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图 像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造 相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图 像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of inform
mutual
- The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
fusionandregistration
- -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
imregister
- In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data
master-image-storage-format
- 1、掌握Windows 下的DIB图像的存储格式和基本的处理方法; 2、编写程序进行图像的模板处理; 3、窗口大小为:3*3 -1, the DIB under the Windows master image storage format and the basic treatment methods 2, the preparation process of the template image processing 3, window size: 3* 3
development-of-image-process
- 对图像的多尺度几何分析的回顾和展望,重点描述了图像处理技术的发展。-development and prospect of image multiscale geometric analysis
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- 基于MAP算法的图像超分辨率重构技术研究硕士论文,文中介绍了超分辨率重建的理论基础与数学模型,基于卡尔曼滤波的序列图像运动估计及基于MAP的超分辨率重建的具体过程。-Algorithm based on MAP Super-Resolution Reconstruction of Image Technology master' s thesis paper introduces the theory of super-resolution reconstruction of the fo
chapter4_3
- 图像在传输过程中,传递函数对高频成分有衰减作用,造成图像模糊,细节轮廓不清楚。图像锐化就是补偿图像的轮廓,增强图像的边缘及灰度跳变的部分,使图像变得清晰。亦分空域处理和频域处理两类[3]。-Image in the transmission process, the transfer function of the role of high frequency components are attenuated, resulting in image blurring, the details
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- image process image proce-image process image process
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- image process image proce-image process image process
ImageProcessing-CircleDetection-RenatoSalas_final
- The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First,
Segmentation
- Segmentation (image processing) From Wikipedia, the free encyclopedia Jump to: navigation, search In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels) (Also known as supe
ImageRetrieval-IdeasInfluencesandTrendsoftheNewAge
- 该文发表于08年,研究了近十年来约300篇图像检索论文,涉及主要的经典理论、图像标注并讨论了相关子领域。该文还讨论了如何利用现有的图像检索技术构建现实中图像系统,是一篇不可多得的图像检索综述。-The article surveys almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotat
fusetool
- Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. O
matlab-image-processing-index
- 这篇文档主要介绍图像处理的常用指令,具体到输入输出参数,比较详细。-image process fuction
understanding_execlp
- The execlp() family of commands can be used to execute an application from a process. The system call execlp() replaces the executing process by a new process image which executes the application specified as its parameter. Arguments can also be
fuzzy-logic-image-fusion
- 提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.-Proposed image fusion algorithm based on wavelet transform
Local-motion-blur-image-processing
- 本文介绍与运动模糊图象恢复有关的基础理论,如图像退化模型,点扩散函数, 恢复过程中的振铃效应,模糊参数获取,给出了图象质量评价的一些常用指标。 -This article describes the motion blur image restoration on the basis of the theory, such as image degradation model, the point spread function, the ringing effect in the re
SAR-image-segmentation-method
- 为了减少alpha-expansion算法的计算量,本文在标号为alpha的像素向其它像素膨胀的过程中,先隔离非alpha类间的联系,而只考虑alpha类与非alpha类之间的关系,从而避免alpha-expansion算法需要构造辅助结点的问题,减少了s/t图中边的数目,提高了算法的计算效率。因放松了非alpha类间的关系对alpha膨胀的约束,使得算法可以更容易得跳出能量函数的局部极小点而获得更优的分割结果。-In order to reduce alpha- expansion algor
DIGITAL-PICTURE-PROCESS
- 关于数字图像处理的说明,从最基础的一步步讲解,很清楚,对我帮组很大-On digital image processing instructions explain step by step from the most basic, it is clear that great help group