Biological tissue identification using a multispectral imaging system

Céline Delporte; Sylvie Sautrot; Mohamed Ben Chouikha; Françoise Viénot; Georges Alquié

doi:10.1117/12.2003033

19 February 2013 Biological tissue identification using a multispectral imaging system

Céline Delporte, Sylvie Sautrot, Mohamed Ben Chouikha, Françoise Viénot, Georges Alquié

Proceedings Volume 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV; 86590H (2013) https://doi.org/10.1117/12.2003033
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

A multispectral imaging system enabling biological tissue identifying and differentiation is presented. The measurement of β(λ) spectral radiance factor cube for four tissue types (beef muscle, pork muscle, turkey muscle and beef liver) present in the same scene was carried out. Three methods for tissue identification are proposed and their relevance evaluated. The first method correlates the scene spectral radiance factor with tissue database characteristics. This method gives detection rates ranging from 63.5 % to 85 %. The second method correlates the scene spectral radiance factor derivatives with a database of tissue β(λ) derivatives. This method is more efficient than the first one because it gives detection rates ranging from 79 % to 89 % with over-detection rates smaller than 0.2 %. The third method uses the biological tissue spectral signature. It enhances contrast in order to afford tissue differentiation and identification.

Citation Download Citation

Céline Delporte, Sylvie Sautrot, Mohamed Ben Chouikha, Françoise Viénot, and Georges Alquié "Biological tissue identification using a multispectral imaging system", Proc. SPIE 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV, 86590H (19 February 2013); https://doi.org/10.1117/12.2003033

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