基于Fisher准则函数的二维阈值图像分割算法

A new algorithm of image segmentation using two-dimensional histogram based on Fisher criterion function

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。

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.