Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
권호 표지

Enhancement of Object Detection using Haze Removal Approach in Single Image

단일 영상에서 안개 제거 방법을 이용한 객체 검출 알고리즘 개선

  • Ahn, Hyochang (Department of Smart & PhotoVoltaic Convergence, Far East University) ;
  • Lee, Yong-Hwan (Department of Digital Contents, Wonkwang University)
  • 안효창 (극동대학교 에너지IT학과) ;
  • 이용환 (원광대학교 디지털콘텐츠공학과)
  • Received : 2018.06.25
  • Accepted : 2018.06.25
  • Published : 2018.06.30
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Abstract

In recent years, with the development of automobile technology, smart system technology that assists safe driving has been developed. A camera is installed on the front and rear of the vehicle as well as on the left and right sides to detect and warn of collision risks and hazards. Beyond the technology of simple black-box recording via cameras, we are developing intelligent systems that combine various computer vision technologies. However, most related studies have been developed to optimize performance in laboratory-like environments that do not take environmental factors such as weather into account. In this paper, we propose a method to detect object by restoring visibility in image with degraded image due to weather factors such as fog. First, the image quality degradation such as fog is detected in a single image, and the image quality is improved by restoring using an intermediate value filter. Then, we used an adaptive feature extraction method that removes unnecessary elements such as noise from the improved image and uses it to recognize objects with only the necessary features. In the proposed method, it is shown that more feature points are extracted than the feature points of the region of interest in the improved image.

Keywords

References

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