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100			_aPanaligan, Nel R.
245			_aAutomated fish fingerlings counter system : _ban evaluation of image segmentation algorithms in overlapping objectives / _cNel R. Panaligan
260			_aDavao City : _bAteneon de Davao University, _c2018.
300			_axii, 72 leaves : _bcolor illustrations ; _c28 cm.
500			_aThesis (Master of Science in Information Technology ) -- Ateneo de Davao University, October 2018.
501			_aCHED Funded Research.
520			_aThe development of automatic fish counters has been driven by the need for accurate, long-term and cost-effective counting and in terms of object recognition in line with advancement of aquaculture in the country. Non-invasive methods of fish counting are ultimately limited by the properties of the immerging technologies like when candidates for counting are transparent and or small (Bangus Fry). Image processing is one of the most modem approach in automating the counting process. The main objective of the study is to evaluate three image segmentation algorithms in an image (2D image of bangus fry) with touching or overlapping fry, whether or not they are capable of segmenting tiny objects (2 weeks old bangus fry) in an image. The study will be evaluating three (3) Image segmentation algorithms with different methods applied in each, (1) Watershed Algorithm, (2) Hough Transform, (3) Concavity Analysis. This study involves 4 basic steps used in image processing; Image acquisition, Image Pre-Processing, Image segmentation, and Object counting. Result shows that the second method of the Watershed Algorithm which identifies the Local Maxima and the Distance transform preforms best compared with the other algorithm, with an accuracy rate of 86.4 7% and 0 false detection in an experimental data of four sets of 2D image ranging from 100, 200, 300, and 400 bangus fry per test Image.
650			_aFish fingerlings _xCounting _vEvaluation.
650			_aImage segmentation.
650			_aBangus fry _xImage processing.
856			_zAbstract _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=d3a47c3a37b3c75414c4598209127717
856			_zTable of contents _uhttp://62.72.45.86/cgi-bin/koha/opac-retrieve-file.pl?id=c96bdf4879ca1d1932c323ebd5475b5a
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