摘要
Focused on the seed region selection and homogeneity criterion in Seeded Region Growing (SRG), an unsupervised seed region selection and a polynomial fitting homogeneity criterion for SRG are proposed in this paper. First of all, making use of Peer Group Filtering (PGF) techniques, an unsupervised seed region selection algorithm is presented to construct a seed region. Then based on the constructed seed region a polynomial fitting homogeneity criterion is applied to solve the concrete problem of doorplate segmentation appearing in the robot navigation along a corridor. At last, experiments are performed and the results demonstrate the effectiveness of the proposed algorithm.
Focused on the seed region selection and homogeneity criterion in Seeded Region Growing （SRG）, an unsupervised seed region selection and a polynomial fitting homogeneity criterion for SRG are proposed in this paper. First of all, making use of Peer Group Filtering （PGF） techniques, an unsupervised seed region selection algorithm is presented to construct a seed region. Then based on the constructed seed region a polynomial fitting homogeneity criterion is applied to solve the concrete problem of doorplate segmentation appearing in the robot navigation along a corridor. At last, experiments are performed and the results demonstrate the effectiveness of the proposed algorithm.
基金
Supported by the National Hi-Tech R&D Program of China (No.2002AA423160)the Na-tional Natural Science Foundation of China (No.60205004)the Henan Natural Science Foundation (No.0411013700).
关键词
图象分割
SRG
区域选择性
同质标准
多项式近似值
Image segmentation
Seeded Region Growing （SRG）
Peer Group Filtering（PGF）
Polynomial approximation
