机构地区: 广东工业大学自动化学院
出 处: 《计算机应用》 2012年第7期1899-1901,共3页
摘 要: 针对羽毛杆进行有效分割问题,提出一种带纹理权重的归一化割(Ncut)方法完成羽毛杆提取。融合纹理信息的权重增强相似纹理边的相似度,减少了相近灰度区域干扰;并结合窄带单向膨胀方法完成初始轮廓的局部调整优化,消除了羽毛杆的边界泄漏。实验结果表明,所提方法可以用于羽毛杆的分割提取,为下一步的毛杆折痕检测奠定基础。 A modified Normalized cut(Ncut) method considering the texture weight was proposed to effectively segment feather quill.The weight including texture information enhanced association on each edge of similar texture and reduced interference of the similar region.Narrow unidirectional expansion method with a region-scalable fitting term was used to optimize the initial boundary for the final result and eliminated boundary leakage of the feather quill.The experimental results show that the proposed method can realize boundary extraction of feather quill efficiently and pave the way for the next step research of crease detection.