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二维Otsu自适应阈值快速算法的改进
引用本文:钱卫星,,黄丽亚.二维Otsu自适应阈值快速算法的改进[J].华侨大学学报(自然科学版),2015,0(4):427-431.
作者姓名:钱卫星    黄丽亚
作者单位:1. 杭州职业技术学院 信息工程学院, 浙江 杭州 310018;2. 南京邮电大学 电子科学与工程学院, 江苏 南京 210003
摘    要:分析二维Otsu自适应阈值快速算法的斜方窄带判决域特性,在不增加算法复杂度的前提下,通过建立窄带斜方轴截距与图像像素二维概率密度信息关联分布数据,提出动态窄带斜方轴截距自适应选择方法.实验结果表明:改进后的二维Otsu自适应阈值快速算法更加适应图像分割的实际工况,并取得良好的图像分割效果.

关 键 词:图像分割  二维Otsu  窄带斜方  自适应轴截距

Improvement for 2D Otsu Adaptive Threshold Fast Algorithm
QIAN Wei-xing,' target="_blank" rel="external">,HUANG Li-ya.Improvement for 2D Otsu Adaptive Threshold Fast Algorithm[J].Journal of Huaqiao University(Natural Science),2015,0(4):427-431.
Authors:QIAN Wei-xing  " target="_blank">' target="_blank" rel="external">  HUANG Li-ya
Institution:1. Electronic Information College, Hangzhou Vocational and Technical College, Hangzhou 310018, China; 2. School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:Base on the characteristics of the trapezius narrowband verdict scope of 2D Otsu adaptive threshold fast algorithm. Through the establishment of distribution data of the information association between narrowband trapezius intercept and image pixel two-dimensional probability density, this paper proposes a dynamic trapezius intercept narrowband adaptive selection method without increasing complexity. The experimental result has demonstrated that the improved fast algorithm of two-dimensional Otsu adaptive threshold was more adapted to the actual condition of image segmentation, and has achieved good effect.
Keywords:image segmentation  2D Otsu  trapezius narrowband  adaptive intercept
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