Interactive object segmentation using color similarity based nearest neighbor regions mergence

Jun Zhang; Qieshi Zhang

doi:10.1117/12.2180729

14 February 2015 Interactive object segmentation using color similarity based nearest neighbor regions mergence

Jun Zhang, Qieshi Zhang

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94450N (2015) https://doi.org/10.1117/12.2180729
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

An effective object segmentation is an important task in computer vision. Due to the automatic image segmentation is hard to segment the object from natural scenes, the interactive approach becomes a good solution. In this paper, a color similarity measure based region mergence approach is proposed with the interactive operation. Some local regions, which belong to the background and object, need to be interactively marked respectively. To judge whether two adjacent regions need to be merged or not, a color similarity measure is proposed with the help of mark. Execute merging operation based on the marks in background and the two regions with maximum similarity need to be merged until all candidate regions are examined. Consequently, the object is segmented by ignoring the merged background. The experiments prove that the proposed method can obtain more accurate result from the natural scenes.

Citation Download Citation

Jun Zhang and Qieshi Zhang "Interactive object segmentation using color similarity based nearest neighbor regions mergence", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450N (14 February 2015); https://doi.org/10.1117/12.2180729

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