Abstract
Image segmentation is a key link of vision system of the global vision bionic robot fish, and a precondition of target localization and tracking. In this paper, we propose a visual threshold method for color image segmentation. Firstly, a visualization research on the R, G and B components in different regions of the image is carried out to find out the main factors, which influence the image segmentation effect, and then an image segmentation method is proposed based on R and B components. It is proved by experiments that the image segmentation method is simple and practical, which is more suitable for the image segmentation and target tracking in our test-bed than the Gaussian mixture model. The image segmentation method also provides reference for other fields.
Highlights
The global vision bionic robot fish competition of water polo or formation(hereafter referred to as "robot fish competition") mainly includes four subsystems: robot fish, vision, decision making and communication subsystems
From the analysis of these visualized data, we can figure out: The G component value doesn't make much difference between the target and the background, the B component value is the most obvious difference between the target and the background, and the R component value can distinguish the target from the background besides a few light reflection regions
To verify the practicability of the proposed method, it is compared with the previous method which is based on the threshold of B component. two Frames are Segmented with different method, the result of Image Segmentation are shown in figure 3 and 4
Summary
The global vision bionic robot fish competition of water polo or formation(hereafter referred to as "robot fish competition") mainly includes four subsystems: robot fish, vision, decision making and communication subsystems. The vision subsystem needs to complete the tasks of image acquisition, Pre-processing, image segmentation and target recognition, and transfer the target information to the decision subsystem. The visual system obtains the position information of the robot fish by extracting the corresponding color information. The robot fish competition environment is influenced by many factors, such as light reflection, site location, surrounding environment and water surface fluctuation , which have a great influence on image recognition. Many mature methods, such as background subtraction, frame difference, and Gaussian mixture model are not suitable for such a changeable environment
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
