Menghitung Jumlah Sel Goblet Usus Ayam Secara Otomatis Dengan Metode Multilevel Thresholding

Dedi Sepriana, Kusworo Adi, Catur Adi Widodo

Abstract


Goblet cell was an indicator the health of chicken intestine that was strongly influence of chicken productivity. So far, the determination of goblet cell was conducted by visual used of microscope. These methods required a long time and also the result was subjective value. The aim of this study was image processed for calculating the number of goblet cells in the chicken intestine and assessed the method applied performance. The material used was 30 images of broiler intestine preparations with AB-PAS staining. The research was carried out used multilevel thresholding and labeling methods for calculating the number of goblet cells in intestine of chicken. Chicken intestinal tissue that had been prepared with AB-PAS staining was acquired used a microscope equipped with a camera and connected to a PC. The result of the acquisition was an RGB scale image, so needed to be converted into an HSV scale image. Next, conducted the extraction process the hue component to convert the image to a gray scale. The gray scale image can be used in the process of identifying goblet cells using the multilevel thresholding method. Objects in the form of goblet cells that have been separated from other tissues were then repaired using morphological operations. The results of morphological operations were then calculated using the labeling method. The results showed that the method applied was successful in automatically calculated the number of goblet cells. The results of calculations using the multilevel thresholding and labeling method had accuracy rate of 90% compared with the results of calculated of visually directly by analyst.

Keywords


Automatic; Thresholding; Labelling; Chicken Intestine; Goblet Cell

References


Jahanian, E., A. H. Mahdavi, S. Asgary, and Jahanian, R., “Effect of dietary supplementation of mannanoligosaccharides on growth performance, ileal microbial counts, and jejunal morphology in broiler chicks exposed to aflatoxins”, Livest. Sci., vol. 190, pp. 123-130, 2016.

Contreras-Ruiz, L., A. Ghosh-Mitra, M. A. Shatos, D. A. Dartt, and S. Masli, “Modulation of conjunctival goblet cell function by inflammatory cytokines”, Mediators Inflamm., pp. 1–11, 2013.

Piccinini, F., A.Tesei, G. Paganelli, W. Zoli, and A. Bevilacqua, “Improving reliability of live/dead cell counting through aut1omated image mosaicking”, Comput Methods Programs Biomed, vol. 117, no. 3, pp. 448-463, 2014.

Grishagin, I. V., “Automatic cell counting with Image”, Anal biochem, vol. 473, pp. 63-65, 2015.

Kim, S. I., H. J. Kim, H. J. Lee, K. Lee, D. Hong, H. Lim, K. Cho, N. Jung, and Y. W. Yi, “Application of a non-hazardous vital dye for cell counting with automated cell counters”, Anal biochem, vol. 492, pp. 8-12, 2016.

Ji, X., C. Zhao, P. Gong, Q. Li, and Y. Yu, “Research on high-accuracy biological microscopic imaging and cell counting system”, Optik-International Journal for Light and Electron Optics, vol. 127, no. 23, pp. 11483-11491, 2016.

Cadena-Herrera, D., J. E. Esparza-De Lara, N. D. Ramírez-Ibañez, C. A. López-Morales, N. O. Pérez, L. F. Flores-Ortiz, and E. Medina-Rivero, “Validation of three viable-cell counting methods: manual, semi-automated, and automated” Biotechnology Reports, vol. 7, pp. 9-16, 2015.

Maitra, M., R. K. Gupta, and M. Mukherjee, 2012, “Detection and counting of red blood cells in blood cell images using hough transform”, Int j comput appl, vol. 53, no. 16, pp. 13-17, 2012.

Setyowati, S., K. Adi, K., and C. Anam, “Rancang Bangun Perangkat Lunak untuk Perhitungan Sel Darah Merah Normal Dan Terinfeksi Malaria”, Berkala Fisika, vol. 22, no. 3, 110-116, 2019.

Sepriana, D., K. Adi, and C. E. Widodo, “Determining the Threshold Value for Identification of the Goblet Cells in Chicken Small Intestine”, In 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), IEEE, pp. 255-259, 2019.

Johansson, M., and G. C. Hansson, “Immunological aspects of intestinal mucus and mucins”, Nat Rev Immunol, vol. 16, pp. 639–649, 2016.

Reynolds, K. L., S. E. Cloft, and E. A. Wong, “Changes with age in density of goblet cells in the small intestine of broiler chicks”, Poult sci, vol. 99, no. 5, pp. 2342-2348, 2020.

Osho, S. O., T. Wang, N. L. Horn, and O. Adeola, “Comparison of goblet cell staining methods in jejunal mucosa of turkey poults”, Poult Sci, vol. 96, no. 3, pp. 556-559, 2017.

Putra, I.K.G.D., Pengolahan citra digital, Andi, Yogyakarta, 2010.

Sujito, S., and M. Yunus, “Perbandingan strategi pelabelan objek pada citra digital dengan metode flood filling”, Jurnal teknologi informasi: Teori, Konsep, dan Implementasi, vol. 7, no. 2, pp. 139-148, 2016.

Hamuda, E., B. Mc Ginley, M. Glavin, and E. Jones, “Automatic crop detection under field conditions using the HSV colour space and morphological operations”, Comput electron agric, vol. 133, pp. 97-107, 2017.

Murthy, T. D., and G. Sadashivappa, “Brain tumor segmentation using thresholding, morphological operations and extraction of features of tumor”, In 2014 international conference on advances in electronics computers and communications, IEEE, pp. 1-6, 2014.

Sepriana, D., K. Adi, and C. E. Widodo, C. E., “Application of morphological operations for improvement the segmentation image of chicken intestinal goblet cells”. Int J Comput Appl, 975, 8887, 2019.

Oruganti, N., and T. Singh, “Best fit polygonal approximation for multiple roi estimation. in 2020 11th international conference on computing”, Communication and Networking Technologies (ICCCNT), IEEE, pp. 1-6, 2020.




DOI: https://doi.org/10.32528/elkom.v5i1.11238

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Jurnal Teknik Elektro dan Komputasi (ELKOM)

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

View My Status                                                                       Indexing Service

                              

UNMUH

   Publisher :
   UNIVERSITAS MUHAMMADIYAH JEMBER
   Jl. Karimata No. 49 Jember 68121 East Java
   Website : www.unmuhjember.ac.id
   Email : kantorpusat@unmuhjember.ac.id

Editorial Address :
Electrical Engineering
Faculty of Engineering
UNIVERSITAS MUHAMMADIYAH JEMBER
Jl. Karimata No. 49 Jember 68121 East Java