吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 670-674.doi: 10.13229/j.cnki.jdxbgxb201502050

• Orignal Article • Previous Articles     Next Articles

Filter of the optical image based on alpha-trimmed mean filter and Mahalanobis distance

LIU Guang-yu, PANG Yong-jie   

  1. College of Underwater Acoustics Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2013-09-10 Online:2015-04-01 Published:2015-04-01

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Abstract: It is easy for digital image to contain noise. To overcome this problem, an adaptive filter algorithm based on Alpha-trimmed mean filter and Mahalanobis distance is proposed. This algorithm combines the advantages of the Alpha-trimmed mean filter and the feature of the Mahalanobis distance. First, the reference sequence is obtained by the Alpha-trimmed mean filter. Then, the Mahalanobis distance between the reference sequence and the comparing sequence is calculated, which is used to determine the weight coefficient of the pixels in the filter window. Finally, the weighted result is taken as the filter output. The experiment results show that the filtering effect of the proposed algorithm is very high for the image containing Gaussian noise, salt and pepper noise or mixed noise, and can keep the details of the original image.

Key words: information processing technology, image filter, Alpha-trimmed mean filter, Mahalanobis distance

CLC Number: 

  • TN911.7
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