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Issac, A., Dutta, M., K., Sarkar, B., Burget, R.
Original Title
An efficient image processing based method for gills segmentation from a digital fish image
Type
conference paper
Language
English
Original Abstract
The quality and freshness of a fish sample is mainly affected due to the handling and storage conditions during the post harvesting period. The retention time and storage medium are the two main factors affecting the fish quality. This paper presents an image processing based method for automatic and efficient segmentation of gills from the fish sample image which can be used for fish freshness validation and determination of any pesticide from the fish sample under test. The implemented algorithm has produced a maximum correlation of 92.4% with the ground truth results obtained from experts. The method used for gills segmentation is fast and simple.
Keywords
Fish, Image segmentation, Image color analysis, Correlation, Signal processing, Correlation coefficient
Authors
Released
11. 2. 2016
Location
New Delhi, Republic of India
ISBN
978-1-4673-9197-9
Book
Signal Processing and Integrated Networks (SPIN), 2016 3rd International Conference on
Pages from
606
Pages to
612
Pages count
5
URL
http://ieeexplore.ieee.org/abstract/document/7566776/
BibTex
@inproceedings{BUT129831, author="Radim {Burget} and Malay Kishore {Dutta} and Anushikha {Singh}", title="An efficient image processing based method for gills segmentation from a digital fish image", booktitle="Signal Processing and Integrated Networks (SPIN), 2016 3rd International Conference on", year="2016", pages="606--612", address="New Delhi, Republic of India", doi="10.1109/SPIN.2016.7566776", isbn="978-1-4673-9197-9", url="http://ieeexplore.ieee.org/abstract/document/7566776/" }