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New motherwavelet for pattern detection in IR image

机译:用于检测红外图像中图案的新子波

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摘要

The paper presents a new mother wavelet adapted from a specific pattern. Wavelet multi-resolution analysis uses this wavelet to detect the position of the pattern in an Infra-Red (IR) signal under scale variation and the presence of noise. IR signal is extracted from IR image sequence recorded by an IR camera, Time of Flight (TOF) sensor configuration. The maximum correlation between the pattern and the signal of interest will be used as a criterion to define the mother wavelet. The proposed mother wavelet were tested and verified under the scale variation and the presence of noise. The experimental tests and performance analysis show promising results for both scale variation and noisy signal. 90% accuracy for the proposed wavelet under intensive noisy condition (50% of the signal amplitude) is guaranteed and high precision is expected under real condition.
机译:本文提出了一种根据特定模式改编的新的母亲小波。小波多分辨率分析使用此小波来检测在比例尺变化和存在噪声的情况下红外(IR)信号中图案的位置。从红外摄像机记录的红外图像序列,飞行时间(TOF)传感器配置中提取红外信号。模式和感兴趣信号之间的最大相关将用作定义母子波的标准。在尺度变化和存在噪声的情况下,对提出的母小波进行了测试和验证。实验测试和性能分析表明,对于标度变化和噪声信号,结果均令人满意。在强噪声条件下(信号幅度的50%),所提出的小波具有90%的精度,并且在实际条件下有望获得高精度。

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