Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference40 articles.
1. Chuang, M.-C., Hwang, J.-N., Williams, K.: A feature learning and object recognition framework for underwater fish images. IEEE Trans. Image Process. 25(4), 1862–1872 (2016)
2. Hou, G.-J., Luan, X., Song, D.-L., Ma, X.-Y.: Underwater man-made object recognition on the basis of color and shape features. J. Coastal Res. 32(5), 1135–1141 (2015)
3. Rizzini, D.L., Kallasi, F., Oleari, F., Caselli, S.: Investigation of vision-based underwater object detection with multiple datasets. Int. J. Adv. Robot. Syst. 12, 77 (2015). https://doi.org/10.5772/60526
4. Wang, H.B., Dong, X., Shen, J., Wu, X.W., Chen, Z:. Saliency-based adaptive object extraction for color underwater images. In: Applied Mechanics and Materials, vol. 347, pp. 3964–3970. Trans Tech Publications (2013)
5. Williams, D.P.: On adaptive underwater object detection. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2011)
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