| 基于多粒度粗糙模糊集的图像边缘检测 |
| |
| 引用本文： | 王丹,吴孟达,毛紫阳,周凡程.基于多粒度粗糙模糊集的图像边缘检测[J].模式识别与人工智能,2012,25(2):195-204. |
| |
| 作者姓名： | 王丹 吴孟达 毛紫阳 周凡程 |
| |
| 作者单位： | 国防科技大学数学与系统科学系 长沙 410073 |
| |
| 基金项目： | 国家自然科学基金资助项目(No.60872152) |
| |
| 摘 要： | 提出一种基于粗糙模糊集的多粒度边缘检测方法.该方法结合粗糙集处理不确定信息的能力和C-Set多粒度处理的思想,通过定义粗糙运算和运算给出边缘表示模型,引入粒度参数对边界定位精度和噪声抑制进行调节,引入结构相似度参数融合粗糙上近似和下近似,以获得更加精确的边界.该检测方法在定位精度上具有粒度不变性,并具有一定噪声抑制作用,实验结果显示其具有较好的边缘检测效果.
|
| 关 键 词： | 粗糙模糊集 粒度 结构相似度 边缘检测 |
Image Edge Detection Based on Multi-Granularity Rough Fuzzy Set |
| |
| WANG Dan
,
WU Meng-Da
,
MAO Zi-Yang
,
ZHOU Fan-Cheng.Image Edge Detection Based on Multi-Granularity Rough Fuzzy Set[J].Pattern Recognition and Artificial Intelligence,2012,25(2):195-204. |
| |
| Authors: | WANG Dan WU Meng-Da MAO Zi-Yang ZHOU Fan-Cheng |
| |
| Affiliation: | (Department of Mathematics and Systems Science,National University of Defense Technology,Changsha 410073) |
| |
| Abstract: | An edge detection method based on rough fuzzy set is presented which combines advantages of rough sets that can handle vagueness and C-Set that can provide multi-granularity.An edge expression is proposed by the definition of rough operation and operation.Granularity w and structure similarity ε are introduced for better edge detection.The experimental results show that the image edge detection algorithm performs well. |
| |
| Keywords: | Rough Fuzzy Set Granularity Structure Similarity Edge Detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
