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Fin Cutting Line Detection Technique based on RANSAC for Fish Cutting Automation System
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 3,  2016, pp.346-352
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.3.346
 Title & Authors
Fin Cutting Line Detection Technique based on RANSAC for Fish Cutting Automation System
Jang, Yonghun; Park, Changhyeon;
 
 Abstract
The fishing industry requires many workers to manually carry out the jobs of sorting and cutting fishes. There are therefore many dangerous situations in their working environment and the throughput is inefficiently low. This paper introduces an automatic fin cutting system based on RANSAC that is able to increase the throughput of fish processing jobs. The system proposed in this paper first detects the edges of a fish using a high-pass filter. The boundary lines between fin and body are then detected by adjusting parameters and the threshold of the noise filters. Finally, the optimal cutting lines are detected using RANSAC. Through an experiment with a sample of 50 fishes, this paper shows that the proposed system detects the cutting lines with about 90% accuracy.
 Keywords
image processing;vision system;fish;line detection;automation;RANSAC;
 Language
Korean
 Cited by
 References
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