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Camaeleon--camouflage assessment by evaluation of local energy spatialfrequency and orientation

机译:通过评估局部能量的空间频率和方向来评估伪装-伪装

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Abstract: Camaeleon is a computer model developed by us for the assessment of camouflage using digital image processing techniques. The main topic of Camaeleon is a filter bank with bandpass-filters which are similar to the filters constituted by the receptive fields of the neurons in the early stages of the visual cortex. It is possible to obtain estimates of local energy (that is local contrast), local spatial frequency and local edge orientation from images processes by such filters. These features appear to be the most important concerning separation of figure and ground, that is object detection. The histograms of these features - for object and background separately - can be calculated and compared to obtain measures for similarity between object and background. At present, a functional description between calculated measures of similarity and detection probability derived from field studies is prepared. First results show sufficient correlation between similarity measures and detection probability for practical purposes of camouflage assessment and development.!5
机译:摘要:Camaeleon是我们开发的一种计算机模型,用于使用数字图像处理技术评估迷彩。 Camaeleon的主要主题是带有带通滤波器的滤波器组,该滤波器组与视觉皮层早期神经元的感受野组成的滤波器相似。通过这样的滤波器从图像处理中可以获得局部能量(即局部对比度),局部空间频率和局部边缘取向的估计。这些特征似乎是最重要的图形和地面分离,即物体检测。可以计算并比较这些特征的直方图(分别用于对象和背景),以获得对象和背景之间相似度的度量。目前,已经准备了从现场研究得出的相似性计算值和检测概率之间的功能描述。初步结果表明,出于伪装评估和开发的实际目的,相似度与检测概率之间具有足够的相关性!5

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