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  1. fusionandregistration

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  2. -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
  3. 所属分类:Development Research

    • 发布日期:2017-04-23
    • 文件大小:66.33kb
    • 提供者:Harry
  1. MoAT7.1

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  2. This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
  3. 所属分类:Development Research

    • 发布日期:2017-03-26
    • 文件大小:422.18kb
    • 提供者:Swati
  1. SEGMENTATIONOFCOLORIMAGES

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  2. segmentation of Color Images using Wavelet Derived Laws features
  3. 所属分类:Development Research

    • 发布日期:2017-05-01
    • 文件大小:634.37kb
    • 提供者:Kamaraj Pandian
  1. fusetool

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  2. 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
  3. 所属分类:Project Design

    • 发布日期:2017-03-22
    • 文件大小:16.26kb
    • 提供者:sruthy78
  1. mutual-information

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  2. 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像,本文采用了最大互信息算法,结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设,不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘,可以使得图像匹配精度提高,还能改善局部极值的问题,再利用小波分解对图像进行压缩降低分辨率,可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化,匹配精度得
  3. 所属分类:Project Design

    • 发布日期:2017-11-07
    • 文件大小:274.34kb
    • 提供者:simon lee
  1. 1-s2.0-S003132031000213X-main

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  2. some fast feature extraction algorithms are addressed for joint retrieval of images compressed in JPEG and JPEG2000 formats. In order to avoid full decoding, three fast algorithms that convert block-based discrete cosine transform (BDCT) into wav
  3. 所属分类:File Formats

    • 发布日期:2017-04-04
    • 文件大小:511.24kb
    • 提供者:1212login
  1. [first_author]_2014_Digital-Signal-Processing

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  2. This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
  3. 所属分类:Development Research

    • 发布日期:2017-05-06
    • 文件大小:1014.25kb
    • 提供者:abdou
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