Saba A. Tuama, Informatics Institute of Postgraduate Studies, University of Information Technology and Communication, Baghdad, Iraq
Jamila H Saud, Mustansiriyah University/ College of Science/ Computer Science Dept., Baghdad, Iraq
The segmentation step of the tongue is one of the most prerequisite steps in various applications such as diseases diagnosis, and human identification. This paper presents a new method for extraction tongue region in colored images using HSV color model for the identification system. The proposed method consists of many steps. At first, the image color is transformed from RGB color space to HSV color space. Then, thresholding is done on the hue component of the HSV color model. Finally, post preprocessing operation utilized to remove the noise and the fake object regions. Through testing of the proposed method on a variety of tongue images, the method has proved to be effective and satisfactory for tongue image segmentation. The suggested method achieved efficient results in the detection rate for the tongue region.
Image segmentation; HSV color model; Tongue Identification; Tongue extraction
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APA:
Tuama, S. A., & Saud, J. H. (2019). An Efficient Segmentation Method for Automated Tongue Extraction using HSV Color Model. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 133, 1-10. doi: 10.33832/ijast.2019.133.01.
MLA:
Tuama, Saba A., et al. “An Efficient Segmentation Method for Automated Tongue Extraction using HSV Color Model.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 133, 2019, pp. 1-10. IJAST, http://article.nadiapub.com/IJAST/Vol133/1.html.
IEEE:
[1] A. Tuama, and J. H. Saud, “An Efficient Segmentation Method for Automated Tongue Extraction using HSV Color Model.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 133, pp. 1-10, Dec 2019.
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