摘要
根据动脉图像去噪易产生模糊边缘的现象以及动脉区域测量的精确度要求,提出一种改进型动脉图像增强方法.将图像分为目标区域与背景区域两部分,采用强制极小值方法对图像局部极小值进行标记拓展并设为掩膜图像来修正原始形态学梯度,从而抑制图像边缘扩展.设置灰度值修正梯度,使得图像增强目标区域的同时削弱背景区域.将该算法运用到实际的图像增强中,并与其他算子的增强进行对比.数据结果显示该方法具有很好的增强效果和较强的实用性.
Based on the fuzzy edge phenomenon of artery image de-noising and the requirements of artery area measurement accuracy,a modified artery image enhancement method is put forward.Image is divided into the target region and the background region.The mandatory minimum method is used for marking and expanding the minimum.The tag is set as a mask image to revise the original morphological gradient to inhibit the image edge extent.The grey value is set to correct the gradient,enhance the target area and weaken the background area.The algorithm is applied to the actual image enhancement,and compared with other enhanced operators.The result shows that the method has a great effect and a strong practicability.
作者
林春深
陈萍芸
Lin Chunshen Chen Pingyun(School of Chemical Engineering, Fuzhou University, Fujian 350000, Chin)
出处
《宁夏大学学报（自然科学版）》
CAS
2016年第3期302-305,共4页
Journal of Ningxia University(Natural Science Edition)
基金
国家质检总局科技计划资助项目(2010qk032)
