| 摘要: |
| 最大熵原则是图像处理中阈值选择的最常用方法之一.很多研究者针对最大熵原则作了各种研究,但一般都回避了用最大熵原则进行多阈值选择时运算量太大的问题.该文提出了解决这一问题的条件迭代ICM(iterated conditional modes)算法.通过实验比较了ICM算法与H.D.Cheng等人提出的模拟退火算法,充分显示了ICM算法的有效性. |
| 关键词: 图像处理,阈值,熵,模拟退火,ICM算法. |
| DOI： |
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| 基金项目:本文研究得到国家自然科学基金(No.69843001)和国家863高科技项目基金(No.863- 306-ZT04-06-04)资助. |
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| The ICM Algorithm for Multi-Level Threshold Selection by Maximum Entropy Criterion |
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LUO Xi-ping,TIAN Jie
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| Abstract: |
| The maximum entropy approach is one of the most important threshold selection methods in image processing.Many researchers avoid the problem of computationally prohibitive when the maximum entropy criterion is applied to multi-level threshold selection.This paper proposes to deal with this problem using ICM (iterated conditional modes) algorithm.Comparing the ICM algorithm with the simulated annealing algorithm proposed by H.D.Cheng et al,the experimental results show the effectiveness of ICM algorithm fully. |
| Key words: Image processing,threshold,entropy,simulated annealing,ICM algorithm. |
