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Illumination invariant pattern recognition using fringe-adjusted joint transform correlator and monogenic signal

机译:使用条纹调整联合变换相关器和单基因信号的照明不变模式识别

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摘要

The joint transform correlator (JTC) technique has shown attractive performance for real-time pattern recognition applications. Among the various JTC techniques proposed in the literature, the fringe-adjusted JTC (FJTC) yields remarkable promise for object recognition, and it has been shown that the FJTC produces a better correlation output than alternate JTCs under varying illumination conditions of the input scene; however, it has been found that the FJTC is not illumination invariant. Therefore, to alleviate this drawback of the FJTC, an illumination-invariant FJTC, based on combination of the fringe-adjusted filter (FAF) and the monogenic signal, is presented. The performance of the FJTC and the proposed local phase based FJTC technique in unknown input-image with varying illumination is investigated and compared. The proposed detection algorithm makes use of the monogenic signal from a two dimensional object region to extract the local phase information for assisting the FJTC robust to illumination effects. Experimental results show that by utilizing the monogenic phase information enables the FAF-based JTC to produce sharper correlation peaks and higher peak-to-clutter ratio compared to alternate JTCs. The proposed technique may be used as a real-time region-of-interest identifier in wide-area surveillance for automatic object recognition when the target under very dark or bright condition that beyond human vision.
机译:联合变换相关器(JTC)技术在实时模式识别应用中显示出诱人的性能。在文献中提出的各种JTC技术中,经过边缘调整的JTC(FJTC)为物体识别提供了可观的前景,并且已经表明,在输入场景变化的照明条件下,FJTC比替代JTC产生更好的相关输出。然而,已经发现FJTC不是照度不变的。因此,为了减轻FJTC的这一缺点,提出了一种基于条纹调整滤波器(FAF)和单基因信号的照明不变FJTC。研究并比较了FJTC和所提出的基于局部相位的FJTC技术在光照变化的未知输入图像中的性能。所提出的检测算法利用来自二维物体区域的单基因信号来提取局部相位信息,以帮助FJTC对照明效果具有鲁棒性。实验结果表明,与替代JTC相比,利用单基因相位信息可使基于FAF的JTC产生更清晰的相关峰和更高的峰杂波比。当目标在超出人类视觉的非常黑暗或明亮的条件下时,建议的技术可用作广域监视中的实时目标区域标识符,以进行自动目标识别。

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