The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2006
Session ID : 2P2-D23
Conference information
2P2-D23 Removal of Adherent Noises from Images by Spatio-Temporal Image Processing
Isao FukuchiAtsushi YamashitaToru KanekoKenjiro T. Miura
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
This paper describes a method for removing adherent noises from image sequences. In outdoor environments, it is often the case that scenes taken by a camera are deteriorated because of adherent noises such as waterdrops on the surface of the lens-protecting glass of the camera. To solve this problem, our method takes advantage of image sequences captured with a moving camera. The method makes a spatio-temporal image to extract the regions of adherent noises by examining differences of track slopes in cross section images between adherent noises and other objects. Finally, regions of adherent noises are eliminated by replacing with image data corresponding to object regions. Experimental results show the effectiveness of our method.
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© 2006 The Japan Society of Mechanical Engineers
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