Abstract The counting of fish fingerlings is an important process in determining the accurate consumption of feeds for a certain density of fingerlings in a pond. Image processing is a modern approach to automate the counting process. It involves six basic steps, namely, image acquisition, cropping, scaling, filtering, segmentation, and measurement and analysis. In this study, two (2) filtering and two (2) segmentation algorithms are identified based on the following observations: the non- uniform brightness and contrast of the image; random noise brought about by feeds, waste, and spots in the container; and the likelihood of the image samples or application used by the different authors of the smoothing and clustering algorithms in their respective experiments. Four (4) combinations of filtering-segmentation algorithms are implemented and tested. Results show that combination of local normalization filter and iterative selection threshold yield a very high counting accuracy using the measurement function such as Precision, Recall, and F-measure. A Graphical User Interface (GUI) is also presented to visualize the image processing steps and its counting results.

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[10] Toh Y., Ng T., and Liew B., Automated Fish Counting Using Image Processing, International Conference on Computational Intelligence and Software Engineering, Wuhan, pp. 1-5, 2009. Lilibeth Coronel completed her Master s Degree in Information Technology at Mindanao University of Science and Technology, Philippines last 2014 and Bachelor s Degree in Computer Science at AMA Computer College, Philippines last 2001. Presently, she is an assistant professor in the Department of Information Technology at Mindanao State University-Naawan Campus, Philippines and at the same time ICT Unit Head of the Campus. Wilfredo Badoy received an Electronics Engineering degree at Mindanao Polytechnic State College in 1995, his MS Information Technology at Ateneo de Davao University in 2009. He is currently finishing his Ph.D. in Computer Science at Ateneo De Manila University. He has worked with various schools in Northern and Southern Mindanao for more than 15 years. His interests are in Artificial Intelligence, Affective Computing, and Computer Simulation. He has published researches in journals and conference proceedings. Consorcio Namoco completed his Doctor of Engineering from Kyoto Institute of Technology, Kyoto City, Japan last 2012. His research interests are in the fields of metal forming, computer simulation, materials processing, industrial technology and information technology education. Presently, he is a full professor and the vice chancellor for academic and student affairs, University of Science and Technology in Southern Philippines, Cagayan de Oro City, Philippines. He also serves as editorial board member and peer reviewer to various local and international research journals.