Abstract
This article proposes an image processing technique to calculate the histological variables from microscope image of occipital bones for gender determination. Occipital bones are highlighted based on 13 parameters to find out the relationship with the gender of samplings. The samples are 80 images classified into 46 males and 34 females with ages between 25 and 90 years old. Direct and stepwise discriminant functions are two methods for accuracy evaluation. The experiments show demonstrative results of gender determination accuracy based on both direct and stepwise discriminant functions. While the direct discrimination on 5 parameters represents 97.5% for both gender classification and gender prediction, the stepwise discrimination on 3 parameters is also at 97.5% for both gender classification and gender prediction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Christensen, A.M., Passalacqua, N.V., Bartelink, E.J.: Forensic Anthropology: Current Methods and Practice, 1st edn. Academic Press (2014)
Phenice, T.W.: A newly developed visual method of sexing the Os pubis. Am. J. Phys. Anthropol. 30(2), 297–301 (1969)
Bruzek, J.: A method for visual determination of sex, using the human hip bone. Am. J. Phys. Anthropol. 117(2), 157–168 (2002)
Buikstra, J.E., Ubelaker, D.H.: Standards for data collection from human skeletal remain. In: Proceedings of a seminar at the Field Museum of Natural History, Arkansas Archeological Survey, 12154th edition (1994)
Ostrofsky, K., Churchill, S.E.: Sex determination by discriminant function analysis of lumbar vertebrae. J. Forensic Sci. 60(1), 21–28 (2014)
Khanpetcha, P., Prasitwattansereeb, S., Casec, D.T., Mahakkanukrauh, P.: Determination of sex from the metacarpals in a Thai population. Forensic Sci. Int. 217(1–3), 229.e1-8 (2011)
Mahakkanukrauha, P., Praneatpolgranga, S., Ruengdita, S., Singsuwana, P., Duangtob, P., Case, D.T.: Sex estimation from the talus in a Thai population. Forensic Sci. Int. 240, 152-e1 (2014)
Dabbs, G., Moore-Jansen, P.H.: A method for estimating sex using metric analysis of the scapul. J. Forensic Sci. 55(1), 149–152 (2009)
Mahakkanukrauh, P., Prasitwattanseree, S., Casec, D.T.: Determination of sex from the proximal hand phalanges in a Thai population. Forensic Sci. Int. 226(1–3), 208–215 (2013)
Crowder, C., Stout, S.: Bone Histology An Anthropological Perspective, 1st edn. CRC Press (2011)
Kumar, D.D., Vandhana, S., Priya, K.S., Subashini, S.J.: Brain tumour image segmentation using MATLAB. Int. J. Innov. Res. Sci. Technol. 1(12), 447–451 (2015)
Patil, R.C., Bhalchandra, A.S.: Brain tumour extraction from MRI images using MATLAB. Int. J. Electron. Commun. Soft Comput. Sci. Eng. 2(1), 1–4 (2015)
Nithyanandam, G.: Extraction of cancer cells from MRI prostate image using MATLAB. Int. J. Eng. Sci. Innov. Technol. 1(1), 27–35 (2012)
Patil, S.B., Bodhe, S.K.: Betal leaf area measurement using image processing. Int. J. Comput. Sci. Eng. 3(7), 2656–2660 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Thumthong, W., Chompoopuen, H., Jaupunphol, P. (2020). Image Processing Technique for Gender Determination from Medical Microscope Image. In: Boonyopakorn, P., Meesad, P., Sodsee, S., Unger, H. (eds) Recent Advances in Information and Communication Technology 2019. IC2IT 2019. Advances in Intelligent Systems and Computing, vol 936. Springer, Cham. https://doi.org/10.1007/978-3-030-19861-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-19861-9_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19860-2
Online ISBN: 978-3-030-19861-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)