计算机科学 ›› 2015, Vol. 42 ›› Issue (2): 280-282.doi: 10.11896/j.issn.1002-137X.2015.02.059
龚劬,冉清华,王海军
GONG Qu, RAN Qing-hua and WANG Hai-jun
摘要： 针对基于分解的二维renyi熵阈值分割方法中参数α的取值问题,根据均匀性测度这一图像分割质量评价指标,利用粒子群搜索方法,提出了一种自适应选取α的方法。实验表明,所提出的方法不但可以针对不同的图像有效地选取参数α值,得到理想的图像分割结果,而且 还可以将二维renyi熵参数自适应选取算法的计算复杂度由O(L6)降为O(L2),计算时间约为二维renyi熵参数自适应选取分割算法的1/10000。
| [1] 黄金杰,郭鲁强,逯仁虎.改进的二维 Renyi 熵图像阈值分割[J].计算机科学,2010,37(10):251-253 [2] 卓问,曹治国,肖阳.基于二维 Arimoto 熵的阈值分割方法[J].模式识别与人工智能,2009(2):208-213 [3] Pun T.A new method for grey-level picture thresholding using the entropy of the histogram[J].Signal processing,1980,2(3):223-237 [4] Sahoo P K,Arora G.A thresholding method based on two-di-mensional Renyi’s entropy[J].Pattern Recognition,2004,37(6):1149-1161 [5] Sahoo P K,Arora G.Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy[J].Pattern Recognition Letters,2006,27(6):520-528 [6] 龚劬,王菲菲,倪麟.基于分解的二维 Renyi 灰度熵的图像阈值分割[J].计算机工程与应用,2013,49(1):181-185 [7] 雷博,范九伦.一维 Renyi 熵阈值法中参数的自适应选取[J].光子学报,2009,38(9):2439-2443 [8] 雷博,范九伦.二维 Renyi 熵阈值分割方法中参数的自适应选取[J].计算机工程与应用,2010,46(22):16-19 [9] Levine M D,Nazif A M.Dynamic measurement of computergenerated image segmentations[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1985,7(2):155-164 [10] Eberhart R C,Kennedy J.A new optimizer using particle swarm theory[C]∥Proceedings of the Sixth International Symposium on Micro Machine and Human Science.1995(1):39-43 [11] Eberhart R C,Shi Y.Tracking and optimizing dynamic systems with particle swarms[C]∥Proceedings of the 2001 Congress on Evolutionary Computation,2001.IEEE,2001,1:94-100 |
| No related articles found! |
|
||
首页