Improving Contrast Accuracy and Resolution of Laser Speckle Contrast Imaging Using Two-Dimensional Entropy Algorithm
A two-dimensional entropy laser speckle contrast imaging (E-LSCI) algorithm is proposed to improve the accuracy and resolution of laser speckle contrast imaging (LSCI) systems. Owing to the stable characteristics of two-dimensional entropy in speckle images, it can be used as a reference to correct...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/7fb8cdc41adf4b69bdf59c46a54154ca |
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| Sumario: | A two-dimensional entropy laser speckle contrast imaging (E-LSCI) algorithm is proposed to improve the accuracy and resolution of laser speckle contrast imaging (LSCI) systems. Owing to the stable characteristics of two-dimensional entropy in speckle images, it can be used as a reference to correct contrast. E-LSCI introduces two-dimensional entropy into the contrast ratio calculation. It uses this benchmark and performs normalization to obtain a more accurate contrast ratio. The results of the method validation experiment show that the accuracy and contrast resolution of E-LSCI are higher than those of traditional LSCI by 27% and over 80%, respectively. The results of a finger blocking experiment show that E-LSCI can reduce the variance of contrast ratio at an identical flow velocity and improve the resolution by 25%. The application of this algorithm can improve the contrast accuracy and contrast resolution of laser speckle contrast imaging instruments. |
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