Automatic Method for Extracting Homogeneity Threshold and Segmenting Homogeneous Regions in Image

Abstract

In this paper, we propose the method for extracting Homogeneity Threshold() and for segmenting homogeneous regions by USRG(Unseeded Region Growing) with . The is a criterion to distinguish homogeneity in neighbor pixels and is computed automatically from the original image by proposed method. Theoretical background for proposed method is based on the Otsu`s single level threshold method. The method is used to divide a small local part of original image int o two classes and the sum() of standard deviations for the classes to satisfy special conditions for distinguishing as different regions from each other is used to compute . To find validity for proposed method, we compare the original image with the image that is regenerated with only the segmented homogeneous regions and show up the fact that the difference between two images is not exist visually and also present the steps to regenerate the image in order the size of segmented homogeneous regions and in order the intensity that includes pixels. Also, we show up the validity of proposed method with various results that is segmented using the homogeneity thresholds() that is added a coefficient for adjusting scope of . We expect that the proposed method can be applied in various fields such as visualization and animation of natural image, anatomy and biology and so on.