@inproceedings{d32f435648a5447883639fe16c1f85eb,
title = "Standardization of Sonar Images by Conditional Random Fields for Fish Segmentation with Mask R-CNN",
abstract = "Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light waters. In this paper, Mask R-CNN is adopted for segmenting fish in sonar images. A preprocessing convolutional neural network (PreCNN) is proposed to provide {"}standardized{"}feature maps for Mask R-CNN and to ease applying Mask R-CNN trained for one fish farm to the others. Experimental results have shown that Mask R-CNN on the output of PreCNN is more accurate than Mask R-CNN directly on sonar images. Applying Mask R-CNN plus PreCNN trained for one fish farm to new fish farms is also more effective.",
keywords = "Conditional Random Fields, Fish Segmentation, Mask R-CNN, Sonar Images",
author = "Chang, {Chin Chun} and Wang, {Yen Po} and Cheng, {Shyi Chyi}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 ; Conference date: 16-11-2021 Through 19-11-2021",
year = "2021",
doi = "10.1109/ISPACS51563.2021.9650982",
language = "English",
series = "ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems",
address = "美國",
}