Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Under Water Animals Detecting Robot Based on Watershed Algorithm

Authors
Le Wang, Senwei Wang, Yansong Deng
Corresponding Author
Le Wang
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.59How to use a DOI?
Keywords
Watershed algorithm, OpenCV, Raspberry Pi, The robot.
Abstract
The underwater animals detecting robot collects images by using a camera, and the watershed algorithm can implement image segmentation. The robot can discern creature under the water with its' advantages of reducing workload and improving work efficiency. The hardware platform of under water animals detecting robot's consists of a Raspberry Pi 2B as well as a micro controller. Micro controller controls steering gear to make the robot move freely in the water. OpenCV is an open source computer vision library and Raspberry Pi uses it to image segmentation on the basis of watershed algorithm under Linux system. Watershed algorithm is an image segmentation method based on topology theory, and was put forward to solve the problem of excessive segmentation. According to the results of the experiment, the practicability of the under water animals detecting robot has been proved. Eventually, the robot get an expecting result.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Le Wang
AU  - Senwei Wang
AU  - Yansong Deng
PY  - 2017/05
DA  - 2017/05
TI  - Under Water Animals Detecting Robot Based on Watershed Algorithm
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 303
EP  - 307
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.59
DO  - https://doi.org/10.2991/icmeit-17.2017.59
ID  - Wang2017/05
ER  -