Hyperspectral Image Dataset for Focus Analysis (HIDFA)

Citation Author(s):
Laura
Quintana-Quintana
Institute for Applied Microelectronics, University of Las Palmas de Gran Canaria
Samuel
Ortega
Norwegian Institute of Food, Fisheries and Aquaculture Research (Nofima)
Himar
Fabelo
Francisco J.
Balea-Fernández
4Dept. of Psychology, Sociology and Social Work, University of Las Palmas de Gran Canaria
Gustavo
M. Callico
Institute for Applied Microelectronics, University of Las Palmas de Gran Canaria
Submitted by:
Laura Quintana
Last updated:
Thu, 02/10/2022 - 18:51
DOI:
10.21227/fk2r-yv89
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Abstract 

Hyperspectral Image Dataset for Focus Analysis (HIDFA) is composed by different hyperspectral (HS) images, acquired varying the working distance from the objective lens to produce different blurriness levels (11). HS images were captured from commercial samples (Brunel microscopes Ltd, England, UK) which include rat histology, leaf structures, stems, blood smears, and freshwater algae. Captures were taken using 5×, 10× and 20× magnification lenses in a HS microscope previously employed for different histology applications. Subjective scores based on the working distance from the sensor are included as reference. Furthermore, HS images at 10× magnification include mean opinion scores obtained from a subjective test performed over 24 subjects.

Instructions: 

Before further preprocessing of the HS images, images must be calibrated to standardize them (Section III. B.). White and dark references must be averaged in order to obtain 1 × 1004 × 826 images.

Funding Agency: 
panish Government and European Union (FEDER funds) as part of support program in the context of TALENT-HExPERIA (PID2020-116417RB-C42)