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基于四邻域检索的自适应阈值分割方法
引用本文:钱苏斌.基于四邻域检索的自适应阈值分割方法[J].成都大学学报(自然科学版),2011,30(3):239-241.
作者姓名:钱苏斌
作者单位:盐城师范学院信息科学与技术学院,江苏盐城,224002
摘    要:图像分割是由图像处理到图像分析的关键步骤,是一种基本的计算机视觉技术.经过研究发现,由于光照原因,原图像中的若干个高光区会在图像分割后的目标区域中产生大量小孔和不规则边缘.针对上述问题,提出了一种基于并行区域分割技术的自适应阈值分割算法,并且通过四邻域检索技术解决了普遍存在的高光区问题.实验证明,该方法可以方便快捷的实...

关 键 词:图像分割  目标区域  高光区  四邻域检索

Segmentation Method of Self-adopting Threshold Value Based on Four-connected Retrieval
QIAN Subin.Segmentation Method of Self-adopting Threshold Value Based on Four-connected Retrieval[J].Journal of Chengdu University (Natural Science),2011,30(3):239-241.
Authors:QIAN Subin
Institution:QIAN Subin(School of Information Science and Technology,Yancheng Teachers College,Yancheng 224002,China)
Abstract:Image segmentation is a key step of the process from image processing to image analysis and it is a basic computer vision technology.It was found that after some researches,for the light reasons,some high-light areas in original image produced a large number of small holes and irregular edges in the target area after segmentation.In light of the above problems,a self-adopting threshold segmentation algorithm was proposed based on parallel region segmentation technique,which solved common problems of high-li...
Keywords:image segmentation  target areas  high-light areas  four-connected retrieval  
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