吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (4): 1083-1088.

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Thresholding algorithm based on three-dimensional Renyi's entropy

WEI Wei1,2, SHEN Xuan-jing1,2, QIAN Qing-ji3, LI Duan4   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China; |2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;3.College of Physics, Jilin University, Changchun 130015, China|4.Jiamusi Branch of China Unicom, Jiamusi 154002,China
  • Received:2010-10-26 Online:2011-07-01 Published:2011-07-01

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Abstract:

The current thresholding methods are mostly based on 2D or 3D histograms of grayscale, neighbor average grayscale and neighbor median grayscale. These methods include 2D minimum error method, 2D Renyi's entropy method, 3D Otsu method etc. The segmentation precisions and noise immunities of these methods are not satisfactory. A novel thresholding algorithm based on 3D Renyi's entropy is proposed, the dimension added is the weighted neighbor median grayscale. Compared with other existing methods, it can not only satisfactorily filter the noise, but also reserve the edge details to a certain extent. Experiment results on many images indicate that this algorithm is able to promote the precision and noise immunity effectively.

Key words: computer application, threshold segmentation, Renyi entropy, three-dimensional histogram, weighted neighbor median gray level

CLC Number: 

  • TP391
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