张建明, 李雨朋. 基于模糊判决改进的Otsu图像分割算法[J]. 微电子学与计算机, 2014, 31(6): 149-151,157.
引用本文: 张建明, 李雨朋. 基于模糊判决改进的Otsu图像分割算法[J]. 微电子学与计算机, 2014, 31(6): 149-151,157.
ZHANG Jian-ming, LI Yu-peng. An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement[J]. Microelectronics & Computer, 2014, 31(6): 149-151,157.
Citation: ZHANG Jian-ming, LI Yu-peng. An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement[J]. Microelectronics & Computer, 2014, 31(6): 149-151,157.

基于模糊判决改进的Otsu图像分割算法

An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement

  • 摘要: 在图像分割中,阈值的选取是十分重要的.提出了一种基于模糊判决的Otsu图像分割算法,通过对Otsu算法中阈值的模糊判决处理,采用重心法来求取阈值,使所求阈值更加接近实际最佳阈值,从而能更好地分割图像.实验结果表明,与当前的一维Otsu算法和二维Otsu算法相比,改进算法有着更好的图像分割效果.

     

    Abstract: In image segmentation, threshold selection is crucial.For traditional Otsu's algorithm exists threshold deviation cause poor image segmentation problem, a kind of fuzzy judgment Otsu image segmentation algorithm has been proposed. Though the process of Otsu's threshold fuzzy judgment,by the gravity method for searching the threshold to get a result of segmenting image better. Experimental results show that the proposed algorithm can get better result compared with one-dimensional Otsu's algorithm and two-dimensional Otsu's algorithm.

     

/

返回文章
返回