Research Article

Automatic Cells Counting in Natt-Herrick Stained Fish Blood

Volume: 17 Number: 3 September 1, 2017
EN TR

Automatic Cells Counting in Natt-Herrick Stained Fish Blood

Abstract

Monitoring of hematological values which provide important information about the health status of fish is considerably important in aquaculture. One of the most commonly used methods for detecting the hematological values in fish blood is the usage of Natt-Herrick solution.   Basically, in this approach, Natt-Herrick stained blood samples are examined with a microscope and the cells are counted. Nevertheless, the counting process is both tough and time-consuming. In this study, a technique in which cell counting in blood samples images is automatically performed has been presented. Natt-Herrick stained blood samples of Oncorhynchus mykiss and Sparus aurata were used for evaluation of the developed scheme. The outputs generated by automatic blood cells detection algorithm in 90 images were compared with results which were obtained by means of user’s intervention.  Consequently, an average f-score over 0.96 was achieved.


Keywords

References

  1. Arnold, J.E., Matsche, M.A. & Rosemary, K. (2014). Preserving whole blood in formalin extends the specimen stability period for manual cell counts for fish. Veterinary Clinical Pathology 43(4), 613–620. http://dx.doi.org/10.1111/vcp.12214
  2. Bai, X., Sun, C. & Zhou, F. (2009). Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition 42(11), http://dx.doi.org/10.1016/j.patcog.2009.04.003
  3. Chetverikov, D. & Szabo, Z. (1999). A simple and efficient algorithm for detection of high curvature points in planar curves. Proceedings of the 23rd Workshop of Austrian Pattern Recognition Group. 175-184. http://dx.doi.org/10.1007/978-3-540-45179-2_91
  4. Demirci, R. (2010). Adaptive threshold selection for edge detection in colour images. IEEE 18nd Signal Processing and Communications Applications Conference (SIU), 677-679. http://dx.doi.org/10.1109/SIU.2010.5654414
  5. Fan, J., Yau, D.K.Y., Elmagarmid, A.K. & Aref, W.G. (2001). Automatic image segmentation by integrating color-edge extraction and seeded region growing. IEEE Transactions On Image Processing, 10(10), 1454-1466. http://dx.doi.org/10.1109/83.951532
  6. Gonçalves, W.N. & Bruno, O.M. (2012). Automatic system for counting cells with elliptical shape. Computer Vision and Pattern Recognition 9(1), 1-11. http://dx.doi.org/10.21528/LNLM-vol9-no1-art1
  7. Gonzalez, R.C. & Woods, R.E. (2008). Digital Image Processing, 3rd Edition. New Jersey, USA: Pearson Education Inc.
  8. Guyon, C., Bouwmans, T. & Zahzah, E.H. (2012). Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis. In P. Sanguansat (Eds.), Principal Component Analysis (pp. 223-237). Rijeka, Croatia: InTech.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

M. Ozan İncetaş
BÜLENT ECEVİT ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ
Türkiye

Erdinç Veske This is me
Gıda Tarım ve Hayvancılık Bakanlığı, Tarımsal Araştırmalar Genel Müdürlüğü
Türkiye

Nesrin Emre
Akdeniz Su Ürünleri Araştırma Enstitüsü
Türkiye

Recep Demirci
GAZİ ÜNİVERSİTESİ, TEKNOLOJİ FAKÜLTESİ
Türkiye

Publication Date

September 1, 2017

Submission Date

April 15, 2017

Acceptance Date

September 8, 2017

Published in Issue

Year 2017 Volume: 17 Number: 3

APA
İncetaş, M. O., Veske, E., Emre, N., & Demirci, R. (2017). Automatic Cells Counting in Natt-Herrick Stained Fish Blood. Aquaculture Studies, 17(3), 283-294. https://doi.org/10.17693/yunusae.v17i30729.306490
AMA
1.İncetaş MO, Veske E, Emre N, Demirci R. Automatic Cells Counting in Natt-Herrick Stained Fish Blood. AquaST. 2017;17(3):283-294. doi:10.17693/yunusae.v17i30729.306490
Chicago
İncetaş, M. Ozan, Erdinç Veske, Nesrin Emre, and Recep Demirci. 2017. “Automatic Cells Counting in Natt-Herrick Stained Fish Blood”. Aquaculture Studies 17 (3): 283-94. https://doi.org/10.17693/yunusae.v17i30729.306490.
EndNote
İncetaş MO, Veske E, Emre N, Demirci R (August 1, 2017) Automatic Cells Counting in Natt-Herrick Stained Fish Blood. Aquaculture Studies 17 3 283–294.
IEEE
[1]M. O. İncetaş, E. Veske, N. Emre, and R. Demirci, “Automatic Cells Counting in Natt-Herrick Stained Fish Blood”, AquaST, vol. 17, no. 3, pp. 283–294, Aug. 2017, doi: 10.17693/yunusae.v17i30729.306490.
ISNAD
İncetaş, M. Ozan - Veske, Erdinç - Emre, Nesrin - Demirci, Recep. “Automatic Cells Counting in Natt-Herrick Stained Fish Blood”. Aquaculture Studies 17/3 (August 1, 2017): 283-294. https://doi.org/10.17693/yunusae.v17i30729.306490.
JAMA
1.İncetaş MO, Veske E, Emre N, Demirci R. Automatic Cells Counting in Natt-Herrick Stained Fish Blood. AquaST. 2017;17:283–294.
MLA
İncetaş, M. Ozan, et al. “Automatic Cells Counting in Natt-Herrick Stained Fish Blood”. Aquaculture Studies, vol. 17, no. 3, Aug. 2017, pp. 283-94, doi:10.17693/yunusae.v17i30729.306490.
Vancouver
1.M. Ozan İncetaş, Erdinç Veske, Nesrin Emre, Recep Demirci. Automatic Cells Counting in Natt-Herrick Stained Fish Blood. AquaST. 2017 Aug. 1;17(3):283-94. doi:10.17693/yunusae.v17i30729.306490