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基于Fisher准则函数的二维阈值图像分割算法
引用本文:童莹,邱晓晖.基于Fisher准则函数的二维阈值图像分割算法[J].电力系统通信,2004,25(9):36-39,47.
作者姓名:童莹  邱晓晖
作者单位:南京邮电学院,信息工程系,江苏,南京,210003
基金项目:江苏省教育厅科学研究基金 (0 2SJD51 0 0 0 8),江苏省图像通信重点实验室开放课题资助项目 (KJS0 3 0 3 7)
摘    要:文章针对图像分割中小目标物体识别困难和抗噪声性能差的问题,引入模式识别中的Fisher评价函数作为图像分割准则函数,基于Fisher准则函数提出二维阈值分割新技术,结合二维直方图抗噪声性能强和Fisher准则函数受目标和背景比例影响小的特点,对图像进行分割。实验结果表明,方法具有较好的识别能力和较强的抗噪声性能。

关 键 词:图像分割  二维直方图  Fisher准则函数  otsu分割算法
文章编号:1005-7641(2004)09-0036-04

A new algorithm of image segmentation using two-dimensional histogram based on Fisher criterion function
TONG Ying,QIU Xiao-hui.A new algorithm of image segmentation using two-dimensional histogram based on Fisher criterion function[J].Telecommunications for Electric Power System,2004,25(9):36-39,47.
Authors:TONG Ying  QIU Xiao-hui
Abstract:Aimed at the difficulties of recognizing the little objects and the recognition result being influenced by noises, this paper generalizes the Fisher criterion function from 1-D to 2-D, which is cited from Pattern recognition, and puts forward a new algorithm of image segmentation using two-dimensional histogram based on Fisher criterion function. This algorithm combines the advantages of 2-D OTSU method and 1-D Fisher method that are influenced rarely by targets and backgrounds. The satisfied result of experiments proves that it is a practicable, effective, new image threshold method.
Keywords:image segmentation  2-D histogram  Fisher criterion function  OTSU threshold algorithm
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