Thresholding Segmentation Algorithm Based on Local Spatial Information
ZHANG Hong
GAO Wei
Abstract：Otsu method is thresholding image segmentation algorithm in one of the classic algorithm,in the image processing it has a wide range of applications.In order to improve the quality of the threshold segmentation algorithm,the optimal threshold is se-lected to obtain the best image segmentation result.This paper is based on the local active feature matrix of the image features,gen-erate local novel image threshold technology.The technique proposed in this paper is verified by extensive experiments in different real images. Compared with the threshold segmentation algorithm,this method is more accurate in selecting the threshold value, and the image segmentation effect is better than before.
Keywords：image segmentationneighborhood variancelocal activity feature
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 251-255,325 )