Identification of an efficient filtering segmentation technique for automated counting of fish fingerlings
Joint Authors
Coronel, Lilibeth
Badoy, Wilfredo
Namoco, Consorcio
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 4 (31 Jul. 2018)7 p.
Publisher
Publication Date
2018-07-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
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
American Psychological Association (APA)
Coronel, Lilibeth& Badoy, Wilfredo& Namoco, Consorcio. 2018. Identification of an efficient filtering segmentation technique for automated counting of fish fingerlings. The International Arab Journal of Information Technology،Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839074
Modern Language Association (MLA)
Coronel, Lilibeth…[et al.]. Identification of an efficient filtering segmentation technique for automated counting of fish fingerlings. The International Arab Journal of Information Technology Vol. 15, no. 4 (Jul. 2018).
https://search.emarefa.net/detail/BIM-839074
American Medical Association (AMA)
Coronel, Lilibeth& Badoy, Wilfredo& Namoco, Consorcio. Identification of an efficient filtering segmentation technique for automated counting of fish fingerlings. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839074