红外图像模式检测的新母小波

M. Mirzaei, S. Prianto, J. Chardonnet, C. Pere, F. Mérienne
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引用次数: 1

摘要

本文提出了一种基于特定模式的新母小波。小波多分辨率分析利用小波在尺度变化和噪声存在下检测红外信号中图案的位置。红外信号从红外相机记录的红外图像序列中提取,飞行时间(TOF)传感器配置。模式和感兴趣的信号之间的最大相关性将被用作定义母小波的标准。在尺度变化和噪声存在的情况下,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,该方法对尺度变化和噪声信号都有良好的效果。在强噪声条件下(信号幅值的50%),所提小波保证了90%的精度,在实际条件下具有较高的精度。
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New motherwavelet for pattern detection in IR image
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.
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