基于游程统计的含噪图像分割效果评价方法

Noised Image Segmentation Effect Evaluating Method Based on Run Length Statistic

含噪图像的分割效果与其干扰噪声强度有着紧密的联系。为了对含噪图像的分割效果进行量化计算和分析,首先定义了一个评价含噪图像分割结果的差异函数,该函数值反映了含噪图像的分割结果和原始图像的分割结果之间的差异程度。同时,根据序列随机性检验方法中的游程测试方法,给出了一种针对含噪图像分割效果评价的方法,该方法基于分割图像的二值化灰度矩阵游程统计量,定义了评价图像分割效果的游程函数,在对含噪图像的分割效果进行评价时,可以计算分割图像的游程函数来进行量化比较。对含噪灰度图像的分割结果与相应的差异函数和游程函数之间的关系进行了实验分析,结果表明,差异函数和游程函数不仅表达简单、计算便捷,而且能够准确反映出含噪图像的干扰噪声强度和分割的结果图像之间的变化关系。

There is close relationship between segmentation effect of noise disturbed image and noise intensity the image contained.In order to quantize computing and analysis of segmentation effect of noise disturbed image,a evaluating function for noised image＇s segmentation results was presented based on segmentation image which is not noised firstly.Then a noise disturbed image segmentation effect evaluating method was presented that is based on run length testing of sequence randomness verifying.Run length function is defined based on run length statistic of segmented image＇s binary gray matrix and this index is quantifying computed when evaluating noised disturbed image＇s segmentation effect.Simulation results of gray image,which is disturbed by noise,indicate that run length function is expressed simple,computing convenience,and can nicely reflect the changing relationship between segmentation effect of noise disturbed image and noise intensity the image contained.