摘要
最大熵原则是图像处理中阈值选择的最重要的方法之一,吸引了很多研究者的注意力.H.D.Cheng等人将模糊性引入最大熵原则,提出了模糊最大熵的概念。本文对他们提出的这种模糊最大熵原则做了修正,提出了我们自己的模糊最大嫡公式,并针对多阈值选择中计算量太大的问题,提出了解决这一问题的ICM算法。通过实验比较了我们的算法与模拟退火算法,充分显示了ICM算法的有效性。
The maximum entropy approach is one of the most important threshold selection method. H. D. Cheng et
al. introduced fuzziness into maximum entropy approach and proposed the fuzzy maximum entropy criterion. In this paper, we make some modifications to their criterion, give our own formula. Then, ICM (iterated conditional modes) algorithm is used to solve the problem of computationally prohibitive when the fuzzy entropy criterion is applied to multi-level threshold selection. Our ICM algorithm is compared with the simulated annealing algorithm and the experiments fully display the effectiveness of our method.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2001年第1期90-94,共5页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
