SCREEN IMAGE SEGMENTATION AND CORRECTION FOR A COMPUTER DISPLAY

Author:

CHEN YUNG-SHENG1,LIN KUN-LI2

Affiliation:

1. Department of Electrical Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 320, Taiwan, ROC

2. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 106, Taiwan, ROC

Abstract

Perception of content displayed on the screen of a computer display using computer vision is a challenging topic if the treated target is changed from physical world to digital world. Screen area from the given computer display image should be segmented and corrected primarily before perceiving the content displayed on the screen. An automatic approach is proposed to the segmentation and deformation correction of screen area for a computer display image. Due to some inherent characteristics existing on ordinary computer displays, the segmentation can be performed by contour tracing. After contouring the screen area, its four corner locations can be readily identified. By approximating the obtained corners to the closest normal screen region, the deformed screen image can be further restored with affine transformation. As a computer vision application on the "look at" screen image, the effectively segmented screen region can be fixed after a little time. The experiments demonstrate that about 70% cases can be fixed under 33 processed frames, others under 51 processed frames, and thus confirm the feasibility of the proposed approach.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Approach to the Segmentation of Buttons from an Elevator Inside Door Image;Transactions on Engineering Technologies;2019-10-11

2. Object recognition based on foreground detection using X-ray imaging;Journal of the Chinese Institute of Engineers;2018-06-28

3. CUBot: Computer Vision on the Eye–Hand Coordination with a Computer-Using Robot and its Implementation;International Journal of Pattern Recognition and Artificial Intelligence;2017-12-13

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