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首页> 外文会议>Computational Imaging V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6498; Electronic Imaging Science and Technology >Object recognition via information-theoretic measures/metrics
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Object recognition via information-theoretic measures/metrics

机译：通过信息理论测量/度量进行物体识别

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摘要

Discrimination of friendly or hostile objects is investigated using information-theory measures/metric in an image which has been compromised by a number of factors. In aerial military images, objects with different orientations can be reasonably approximated by a single identification signature consisting of the average histogram of the object under rotations. Three different information-theoretic measures/metrics are studied as possible criteria to help classify the objects. The first measure is the standard mutual information (MI) between the sampled object and the library object signatures. A second measure is based on information efficiency, which differs from MI. Finally an information distance metric is employed which determines the distance, in an information sense, between the sampled object and the library object. It is shown that the three (parsimonious) information-theoretic variables introduced here form an independent basis in the sense that any variable in the information channel can be uniquely expressed in terms of the three parameters introduced here. The methodology discussed is tested on a sample set of standardized images to evaluate their efficacy. A performance standardization methodology is presented which is based on manipulation of contrast, brightness, and size attributes of the sample objects of interest.
机译：使用信息理论测量/度量（已受许多因素影响）的图像，研究了对友善或敌对对象的区分。在航空军事图像中，可以通过单个标识签名合理地近似具有不同方向的对象，该单个标识签名由对象在旋转下的平均直方图组成。研究了三种不同的信息理论量度/度量作为可能的标准，以帮助对对象进行分类。第一个度量是采样对象和库对象签名之间的标准互信息（MI）。第二种措施基于信息效率，这不同于MI。最后，采用信息距离度量，该信息距离度量在信息意义上确定了采样对象与库对象之间的距离。可以看出，在这里引入的三个（简约的）信息理论变量形成了一个独立的基础，即信息通道中的任何变量都可以根据在此引入的三个参数来唯一表示。讨论的方法论是在一组标准化图像上测试的，以评估其有效性。提出了一种性能标准化方法，该方法基于对目标样本对象的对比度，亮度和大小属性的操作。

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