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  • pashload是應(yīng)用在linux下的網(wǎng)絡(luò)帶寬測(cè)試源程序精確度比較高 ///////////////////////////////////// Pathload is a tool for es

    pashload是應(yīng)用在linux下的網(wǎng)絡(luò)帶寬測(cè)試源程序精確度比較高 ///////////////////////////////////// Pathload is a tool for estimating the available bandwidth of an end-to-end path from a host S (sender) to a host R (receiver). The available bandwidth is the maximum IP-layer throughput that a flow can get in the path from S to R, without reducing the rate of the rest of the traffic in the path.

    標(biāo)簽: pashload Pathload linux tool

    上傳時(shí)間: 2016-06-29

    上傳用戶:xzt

  • The existence of numerous imaging modalities makes it possible to present different data present in

    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 the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.

    標(biāo)簽: present modalities existence different

    上傳時(shí)間: 2017-04-03

    上傳用戶:qunquan

  • -The existence of numerous imaging modalities makes it possible to present different data present in

    -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 the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.

    標(biāo)簽: present modalities existence different

    上傳時(shí)間: 2014-03-04

    上傳用戶:15736969615

  • This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It sh

    This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It shows how to implement Hartley and Zisserman s "DLT" algorithm for estimating a homography from point correspondences

    標(biāo)簽: function computer tutorial another

    上傳時(shí)間: 2013-12-21

    上傳用戶:ruixue198909

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