Seeded image segmentation for content-based image retrieval application
Jianping Fan, Mathurin Body, Xingquan Zhu, Mohand-Saïd Hacid, Essam A. El-Kwae · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Seeded image growing (SRG) algorithm is very attractive for semantic image segmentation but it also suffer from the problems of pixel sorting orders for labeling and automatic seed selection. We design an automatic SRG algorithm, along with a boundary-oriented parallel pixel labeling technique and an automatic seed selection method. In order to support more efficient image access over large-scale database, we suggest a multi-level image database management structure. This framework also supports a concept-oriented image classification via a probabilistic approach. Hierarchical image indexing and summarization are also discussed.