An image segmentation method for quantitative measurement of infrared imaging

Dapeng Chen; Juan Lin; Yazhou Zhang

doi:10.1117/12.2664883

4 April 2023 An image segmentation method for quantitative measurement of infrared imaging

Dapeng Chen, Juan Lin, Yazhou Zhang

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126172C (2023) https://doi.org/10.1117/12.2664883
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

External field infrared measurement is often affected by environmental radiation, scattering, atmospheric transmission, and other factors, which cause the poor spatial correlation, low signal-to-noise ratio of the infrared images, and it is difficult to segment the target and background for quantitative calculation. Therefore, in this paper, a method of infrared image enhancement and segmentation for external field measurement is described; based on Butterworth high pass filter, an enhancement factor is proposed to improve the transfer function. An infrared image of a cargo ship on the sea is processed by this method. The results indicated that, this method can effectively segment the target and background, and provide support for the quantitative calculation of infrared characteristics.

Citation Download Citation

Dapeng Chen, Juan Lin, and Yazhou Zhang "An image segmentation method for quantitative measurement of infrared imaging", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126172C (4 April 2023); https://doi.org/10.1117/12.2664883

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