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Robust Thresholding by Calibration
Wang ZZ(王振洲)
作者部门机器人学研究室
会议名称IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society (IES)
会议日期October 29 - November 1, 2017
会议地点Beijing, China
会议主办者IEEE Industrial Electronics Society
会议录名称Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
出版者IEEE
出版地New York
2017
页码3328-3332
收录类别EI ; CPCI(ISTP)
EI收录号20182005182444
WOS记录号WOS:000427164803050
产权排序1
ISSN号1553-572X
ISBN号978-1-5386-1127-2
关键词Segmentation Thresholding Image Processing slope difference distribution
摘要Although image segmentation technology has achieved rapid development, threshold method is still an indispensable part in many practical applications. The most advanced methods do not perform well in the segmentation of many different types of images. Therefore, it is expected that the optimal segmentation method can be obtained for images with different modalities. In this paper, a robust threshold method is proposed to calibrate the parameters to obtain the best accuracy. The proposed threshold method is tested in the composite image and the actual image. The experimental results show that the proposed method is superior to the existing technology.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22056
专题机器人学研究室
通讯作者Wang ZZ(王振洲)
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, P.R. China
推荐引用方式
GB/T 7714
Wang ZZ. Robust Thresholding by Calibration[C]//IEEE Industrial Electronics Society. New York:IEEE,2017:3328-3332.
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