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New motherwavelet for pattern detection in IR image

机译:新的MotherWave用于IR图像中的模式检测

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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:本文提出了一种从特定模式改编的新母小波。小波多分辨率分析使用该小波在比例变化和噪声的存在下检测图案中的图案的位置和噪声的存在。 IR信号从IR摄像机记录的IR图像序列中提取,飞行时间(TOF)传感器配置。图案与感兴趣的信号之间的最大相关性将用作定义母小波的标准。在规模变化和噪音存在下测试并验证所提出的母小波。实验试验和性能分析表明,尺度变化和噪声信号的有希望的结果。在密集的嘈杂条件下,建议小波的90%精度(50%的信号幅度)是保证,在实际情况下预期高精度。

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