Computer and Modernization ›› 2013, Vol. 218 ›› Issue (10): 27-29,3.doi: 10.3969/j.issn.1006-2475.2013.10.008

• 图像处理 • Previous Articles     Next Articles

Background Segmentation of Image Based on Gaussian Fuzzy Logic

CHEN Peng   

  1. Taizhou Teachers College, Taizhou 225300, China
  • Received:2013-05-09 Revised:1900-01-01 Online:2013-10-26 Published:2013-10-26

Abstract: The background segmentation of image is a critical step in image processing. It has very important practical significance. Getting background effectively and efficiently through background segmentation method is one of the current research focuses. An algorithm for background segmentation image based on Gaussian fuzzy logic is introduced. The algorithm fully takes into account the complexity of the real-time processing, the validity of the balance results of processing to ensure the effectiveness and efficiency of the system. Finally, simulation test on road traffic video surveillance images is carried on. The experiments show that the proposed algorithm can segmentation background images from surveillance video images. It helps to make the road traffic video surveillance system to effectively get rid of restricts from the environment and noise, as well as other external interference.

Key words: image processing, image segmentation, Gaussian function, fuzzy logic, video surveillance

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