Publication detail

An efficient image processing based method for gills segmentation from a digital fish image

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

Issac, A., Dutta, M., K., Sarkar, B., Burget, R.

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/"
}