An Effective Technique for Determining Fish Freshness using Image Processing
Samarth Negi1, Navneet Yadav2, Rahul Rawat3, Rishabh Singh4
1Samarth Negi, Department of ECE, Maharaja Agrasen Institute of Technology, Delhi, India,
2Navneet Yadav, Department of ECE, Maharaja Agrasen Institute of Technology, Delhi, India,
3Rahul Rawat, Department of ECE, Maharaja Agrasen Institute of Technology, Delhi, India,
4Rishabh Singh, Department of ECE, Maharaja Agrasen Institute of Technology, Delhi, India,
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 26 August 2019 | PP: 460-464 | Volume-8 Issue-9S August 2019 | Retrieval Number: I100730789S19/19©BEIESP | DOI: 10.35940/ijitee.I1073.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents an efficient image processing based algorithm to determine the freshness of a fish. The determination is made after judging the condition of the eyes and the gills of the sample. The method is applicable for most edible fishes and can be easily reconfigured by changing the effect that the two determinants have on the final outcome. The novelty of the method lies in the ability of the algorithm to easily adapt to new samples which is a result of the universal applicability of the parameters selected. The method shows highly accurate results when compared to the ground truth.
Keywords: Digital Image Processing, Image Segmentation, Fish Quality.
Scope of the Article: Signal and Image Processing