OALib Journal期刊
ISSN: 2333-9721
费用:99美元
|
|
|
基于最大熵原理的多阈值自动选取新方法
DOI: 10.11834/jig.200205154
Keywords: 最大熵,阈值,灰度级,直方图
Abstract:
基于信息论中最大熵原理,提出了一种等概率场下的自动选取阈值的新方法.该方法是首先通过图象灰度直方图信息,并利用Shannon熵中等概率场具有最大熵的基本性质来确定阈值,然后将图象划分为等概率的子块,进而给出了该算法的理论推导和算法的具体实现步骤.与通常的基于熵理论自动获取图象阈值的方法相比较,该方法直观、简便、求解稳定,且易于实现.同时该方法克服了常用方法在阈值求取时,出现的诸如计算量大、计算效率低等不足等问题,故能够迅速地获得图象的阈值.对比实验的结果,也说明了该方法的快速性、有效性、可靠性和稳定性
References
[1] | [1]Otsu N. A threshold selection method from grey-level histograms [J]. IEEE Trans. System. Man Cybernet, 1979,SMC-9: 62~66.
|
[2] | [2]Kittiler J, Illingworth J. Minimum error thresholding [J].Pattern Recognition, 1986,19(1): 41~47.
|
[3] | [3]Pal N R, Pal S K. A review on image segmentation techniques[J]. Pattern Recognition, 1993,26 (9): 1277~ 1294.
|
[4] | [4]Pun T. A new method for grey-level picture thresholding using the entropy of the histogram[J]. Signal Process. , 1980,2 (3):223~237.
|
[5] | [5]Yen J G, Chang F J, Chang S. A new criterion for automatic multilevel thresholding[J]. IEEE Trans. on Image Processing,1995,4(3) :233~260.
|
[6] | [6]Sahoo P, Wilkins C, Yeager J. Threshold selection using Renyi\'s entropy[J]. Pattern Recognition, 1997,30(1):71~84.
|
[7] | [7]Cheng H D, Chen Y H, Sun Y. A novel fuzzy entropy approach to image enhancement and thresholding[J]. Signal Processing,1999,75(3) :277~301.
|
[8] | [8]孟庆生.信息论[M].西安:西安交通大学出版社,1989:19~27.
|
[9] | [9]裴继红,谢维信.势函数聚类自适应多阈值图象分割[J].计算机学报,1999,22(7):758~762.
|
Full-Text
|
|
Contact Us
service@oalib.com QQ:3279437679 
WhatsApp +8615387084133
|
|