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作者机构:Uiduk Univ Dept Elect Engn Kyongju 780713 South Korea Kumoh Natl Univ Technol Sch Comp & Software Engn Kumi South Korea Keimyung Univ Sch Elect & Comp Engn Taegu 704701 South Korea Kyungpook Natl Univ Sch Elect & Elect Engn Taegu 702701 South Korea
出 版 物:《OPTICAL ENGINEERING》 (光学工程)
年 卷 期:2000年第39卷第8期
页 面:2036-2045页
核心收录:
学科分类:08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 0702[理学-物理学]
主 题:video segmentation algorithm content-based coding
摘 要:A new video segmentation algorithm using a combined segmentation measure for content-based coding is presented. The combined segmentation measure is a weighted sum of intensity, motion, and a change segmentation measure. The change segmentation measure is defined from a change image, which is obtained from the proposed change detector. The proposed change detector performs morphological erosion filtering to eliminate many inaccurate components, included in the resulting image obtained from a conventional change detector. Since the change segmentation measure is defined as an absolute change value difference between a pixel and its neighboring region, it can be an efficient segmentation measure for the accurate segmentation of neighboring moving objects and static background regions. Therefore, the proposed combined segmentation measure can determine exact boundaries even though the estimated motion vectors around the boundaries of moving objects and static background regions are inaccurate and the intensities around the boundaries are similar. From the experimental results for a video segmentation, since the combined segmentation measure can accurately segment the boundaries between moving objects and static background regions, the motion compensated images produced by the proposed segmentation algorithm show improved image quality compared to the conventional segmentation. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)01208-3].