Abstract
Thermal images consist of a single matrix, though several colorization algorithms are mostly applied to highlight the differences in radiation. The colorization is done by built-in colormaps which usually conceal some features, so in case of being already devoted to a specific purpose, hardly useful for other requirements. We therefore proposed a novel quantization and indexing algorithm in hand thermography. The images already extracted by pseudocolor map are segmented by red-channel conversion for turning into grayscale and 4-level quantization. Moreover, through the histograms and cumulative histograms, intermediary indexing is applied by Midway image equalization. The results seem promising for revealing the details with high contrast differences in quantization.
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References
Volovik, M.G., Kiselev, D.V., Polevaya, S.A., Aleksandrov, N.M., Peretyagin, P.V., Khomiakova, M.I., Kovalchuk, A.V.: Effects of repeated local ischemia on the temperature and microcirculation in the skin of the human hand. Hum. Physiol. 41(4), 428–436 (2015)
Vannetti, F., Matteoli, S., Finocchio, L., Lacarbonara, F., Sodi, A., Menchini, U., Corvi, A.: Relationship between ocular surface temperature and peripheral vasoconstriction in healthy subjects: a thermographic study. Proc. Inst. Mech. Eng. Part H: J. Eng. Med. 228(3), 297–302 (2014)
Deng, F., Tang, Q., Zeng, G., Wu, H., Zhang, N., Zhong, N.: Effectiveness of digital infrared thermal imaging in detecting lower extremity deep venous thrombosis. Med. Phys. 5(2242–2248), 42 (2015)
Choi, E., Lee, P.B., Nahm, F.S.: Interexaminer reliability of infrared thermography for the diagnosis of complex regional pain syndrome. Skin Res. Technol. 19(2), 189–193 (2013)
Dayakshini, S., Kamath, S., Rajagopal, K.V., Prasad, K.: Medical imaging techniques and computer aided diagnostic approaches for the detection of breast cancer with an emphasis on thermography–a review. Int. J. Med. Eng. Inform. 8(3), 275–299 (2016)
Chelicka, I., Matusiak, U., Maj, J., Baran, E., Szepietowski, J.C.: Freezing fingers syndrome, primary and secondary Raynaud’s phenomenon: characteristic features with hand thermography. Acta Derm.-Venereol. 93(4), 428–432 (2013)
Ammer, K.: Nerve entrapment and skin temperature of the human hand. In: Infrared Imaging, p. 17-1. IOP Publishing (2015)
Horikoshi, M., Inokuma, S., Kijima, Y., Kobuna, M., Miura, Y., Okada, R., Kobayashi, S.: Thermal disparity between fingers after cold-water immersion of hands: a useful indicator of disturbed peripheral circulation in raynaud phenomenon patients. Intern. Med. 5(461–466), 55 (2016)
Kolesov, S.N.: Thermal-vision diagnosis of Raynaud’s syndrome and its stages. J. Opt. Technol. 82(7), 478–486 (2015)
Papež, B.J., Palfy, M.: EMG vs. Thermography in Severe Carpal Tunnel Syndrome. INTECH Open Access Publisher (2012)
Roldan, K.E., Piedrahita, M.A.O., Benitez, H.D.: Spatial-temporal features of thermal images for Carpal Tunnel Syndrome detection. In: IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics (2014)
Ozturk, C., Hancer, E., Karaboga, D.: Color image quantization: a short review and an application with artificial bee colony algorithm. Informatica 25(3), 485–503 (2014)
Hu, Y.C., Lee, M.G., Tsai, P.: Colour palette generation schemes for colour image quantization. Imaging Sci. J. 57, 46–59 (2013)
Ponti, M., Nazaré, T.S., Thumé, G.S.: Image quantization as a dimensionality reduction procedure in color and texture feature extraction. Neurocomputing 173, 385–396 (2016)
Pérez-Delgado, M.L.: Colour quantization with Ant-tree. Appl. Soft Comput. 36, 656–669 (2015)
Alpar, O.: Corona segmentation for nighttime brake light detection. IET Intell. Transport Syst. 10(2), 97–105 (2015)
Alpar, O., Stojic, R.: Intelligent collision warning using license plate segmentation. J. Intell. Transport Syst. 20(6), 487–499 (2015)
Alpar, O., Krejcar, O.: Dorsal hand recognition through adaptive YCbCr imaging technique. In: Nguyen, N.-T., Manolopoulos, Y., Iliadis, L., Trawiński, B. (eds.) ICCCI 2016. LNCS (LNAI), vol. 9876, pp. 262–270. Springer, Cham (2016). doi:10.1007/978-3-319-45246-3_25
Acknowledgment
This work and the contribution were supported by project “SP/2102/2017 - Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove. We are also grateful for the support of Ph.D. students of our team (Richard Cimler and Jan Trejbal) in consultations regarding application aspects.
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Alpar, O., Krejcar, O. (2017). Quantization and Equalization of Pseudocolor Images in Hand Thermography. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10208. Springer, Cham. https://doi.org/10.1007/978-3-319-56148-6_35
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DOI: https://doi.org/10.1007/978-3-319-56148-6_35
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