摘要
给出了对湖海受污域进行目标提取的有效方法。首先利用自适应复合形态滤波器对图像进行滤噪,再获取与受污区域纹理特征相匹配的特征分形维数,最后提出一种改进的方向顶点链码算法,用以构造目标区域边界信息向量序列集合,为防治水污染提供信息参考。实验结果表明,算法具有较好的抗噪性与实时性。
This paper introduces the effective method to extract the contaminated region of lakes. Firstly, filter noise in image with adaptive complex morphological filter, and then, gain the character- istic fractal dimension which matches with the target texture features; finally, it proposes the direc- tional vertex vector chain code algorithm to construct a boundary information vector sequence set, and provide information for the prevention of water pollution. The experimental result demonstrates that al- gorithm has a good anti-noise ability and real-time ability.
出处
《重庆理工大学学报（自然科学）》
CAS
2012年第6期71-75,106,共6页
Journal of Chongqing University of Technology：Natural Science
基金
福建省自然科学基金资助项目(2007J0189)
武夷学院校级科研项目(XLQ0808)
关键词
滤噪
形态滤波器
特征分形维数
向量链码
filtering noise
morphological filter
characteristic fractal dimension
vector chain code
