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基于图像差分特征的彩色图像差分预测与信息提取算法研究 被引量:3
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作者 杨单 《计算机科学》 CSCD 北大核心 2015年第1期308-311,316,共5页
图像特征提取预测技术一直是图像处理领域研究的热点与难点。提出了一种包含图像归一化特征融合的图像差分预测算法。基于色彩的图像差分特征测量方法充分利用了图像的色彩信息,将色彩信息全部转换到一个色彩空间中,然后将图像归一化到... 图像特征提取预测技术一直是图像处理领域研究的热点与难点。提出了一种包含图像归一化特征融合的图像差分预测算法。基于色彩的图像差分特征测量方法充分利用了图像的色彩信息,将色彩信息全部转换到一个色彩空间中,然后将图像归一化到特定的视角距离范围内来提取出图像差分特征(IDF)信息。最后做了大量的仿真实验,结果表明,提出的方法可以极大地提高彩色图像差分预测性能;同时对图像的色域映射所造成的亮度失真进行的多尺度分析结果表明,以不同尺度提取的基于亮度的图像差分特征比一般的图像失真具有更高的尺度间相关性。 展开更多
关键词 图像差分预测 特征融合 色域映射 特征提取 图像归一化
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Some Peculiarities of the Preprocessing of Spectral Data and Images
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作者 Valentin Atanassov Georgi Jelev Lubomira Kraleva 《Journal of Shipping and Ocean Engineering》 2013年第1期55-60,共6页
Remotely sensed spectral data and images are acquired under significant additional effects accompanying their major formation process, which greatly determine measurement accuracy. In order to be used in subsequent qu... Remotely sensed spectral data and images are acquired under significant additional effects accompanying their major formation process, which greatly determine measurement accuracy. In order to be used in subsequent quantitative analysis and assessment, this data should be subject to preliminary processing aiming to improve its accuracy and credibility. The paper considers some major problems related with preliminary processing of remotely sensed spectral data and images. The major factors are analyzed, which affect the occurrence of data noise or uncertainties and the methods for reduction or removal thereof. Assessment is made of the extent to which available equipment and technologies may help reduce measurement errors. 展开更多
关键词 SPECTROMETRY spectral data and images preliminary processing.
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