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An Approach for Extracting Illumination-Independent Texture Features

机译:一种提取与光照无关的纹理特征的方法

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摘要

A common issue in many computer vision applications is the effect of the illumination conditions on the performance and reliability of the built system. In many cases the researchers have to face an extra problem: to study the environmental conditions of the facilities where the application will run, the light technology and the wattage of the chosen lamps, nowadays we are moving to LED technology due to the increased life and absence of flicker, among other benefits. Nevertheless, it would be desirable to make the intelligent system more robust to lighting conditions changes, as in the case of texture classification systems [1]. On such systems the effect of light changes on the measured features may eventually lead to texture misclassification and performance degradation. In this paper we present an approach that will be helpful to overcome such problems when the light comes from a directional source, such as halogen projectors, LED arrays, etc.
机译:在许多计算机视觉应用中,一个常见的问题是照明条件对内置系统的性能和可靠性的影响。在许多情况下,研究人员不得不面对一个额外的问题:研究运行该应用程序的设施的环境条件,照明技术和所选灯具的功率,如今,由于使用寿命的增加和使用寿命的延长,我们正在转向LED技术。没有闪烁,还有其他好处。然而,与纹理分类系统[1]的情况一样,希望使智能系统对照明条件的变化更加鲁棒。在这样的系统上,光线变化对所测量特征的影响最终可能导致纹理分类错误和性能下降。在本文中,我们提出一种方法,当光来自定向光源(例如卤素投影仪,LED阵列等)时,将有助于克服此类问题。

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