节点文献
多尺度各向异性小波收缩图像分割算法在玉米病斑特征提取时的应用
Application of Multi-scale Anisotropy Wavelet Shrinkage Image Segmentation Method for Features Extraction of Corn Leaf Disease Spot
【摘要】 通过选取基于LXF模型的水平集图像分割算法和快速FCM聚类图像分割算法进行对比研究,并将结合小波收缩与各向异性扩散优点的多尺度各向异性小波收缩图像分割算法应用于玉米病斑图像分割与特征提取中,该算法的分割效果明显优于前两种分割算法。
【Abstract】 Through the contrast research with LXF model-based levelset image segmentation method and quick FCM cluster image segmentation method,and multi-scale anisotropy wavelet shrinkage image segmentation method was applied to segmentation and features extraction of corn leaf disease spot image,the method combined the advantages of wavelet shrinkage and anisotropy diffusion. Experiment results showed that the segmentation effect of the method was better than former two methods.
【关键词】 图像分割算法;
LXF模型;
快速FCM聚类;
多尺度各向异性小波收缩图像分割算法;
玉米叶部病斑;
【Key words】 image segmentation method; LXF model; quick FCM cluster; multi-scale anisotropy wavelet shrinkage image segmentation method; corn leaf disease spot;
【Key words】 image segmentation method; LXF model; quick FCM cluster; multi-scale anisotropy wavelet shrinkage image segmentation method; corn leaf disease spot;
【基金】 黑龙江八一农垦大学校博士启动金项目(基于计算机视觉的玉米病害研究:XDB2009-17)
- 【文献出处】 黑龙江八一农垦大学学报 ,Journal of Heilongjiang Bayi Agricultural University , 编辑部邮箱 ,2016年02期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】218