摘要
本文将广义模糊集合引入到眼底图象的拼接方面，运用广义模糊算子对图象模板进行处理，能精确地获得该模板的特征点。应用这些特征点进行眼底图象的配准，最终将各部分眼底图象拼接成一较完整的图象。实验证明，与一些常规配准算法相比，该算法具有速度快。
match algorithm based on Generalized Fuzzy Set(GFS) was presented in Ocular Fundus Images. The image templates were firstly processed by Generalized Fuzzy Operator(GFO), then the edge characteristic points obtained by GFS were used as the match points to put some pieces of images together. Some other experiments were also done to show that this method was much faster and more precise.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
1998年第3期239-243,共5页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金
广东省八五攻关项目基金
关键词
广义模糊集
特征点配准
眼底图象
Generalized fuzzy set
Characteristic points match
Ocular fundus images
