摘要
对于矿石颗粒图像,传统基于图的图像分割方法精度低。为了实现矿石颗粒图像的细分割,文章提出一种改进的基于图的图像分割方法。该方法重新定义了判定函数,度量了区域之间的关系,能够提炼出更多目标细节。所提分割方法获得了更为准确的结果,提高了精确度。
Traditional graph-based image segmentation method divides(GBIS)mineral grains image with low segmentation accuracy.In this paper,an improved graph-based image segmentation(IGBLS)method is proposed to realize the fine segmentation of mineral grains.The new method redefines the decision function,measures the relationship between regions,and extracts more target details.The improved segmentation method obtains more precise results and improves the accuracy.
作者
张莉
储茂祥
邓鑫
陈智博
ZHANG Li;CHU Maoxiang;DENG Xin;CHEN Zhibo(School of Electronics and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China;Liaoning Heibeijian Sci-Tech Co.,Ltd.,Anshan 114051,China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2021年第9期1193-1197,1209,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(51674140)
辽宁省科学技术基金资助项目(20180550067)。
关键词
矿石颗粒图像
基于图的图像分割
判定函数
检测技术
mineral grains image
graph-based image segmentation(GBIS)
decision function
detection technology
