摘要
提出了一种基于人眼视觉的图像边缘检测的新算法。该方法基于LIP模型首先推导出新的梯度公式,然后进行图像灰度处理和叠加操作,最终形成了一种新的边缘检测算法。该方法大大减少了非边缘噪声的产生,能将图像的边缘较好地检测出来。实验表明,该方法具有边缘检测准确性高,引入的非边缘噪声少的特点。
A new edge-detecting algorithm based on human eyes' regulations was proposed. It deduced a new grads formula by using and improving Logarithmic linage Processing (LIP) model, and formed a new edge deteeting method ultimately. The methods greatly reduced the production of non-edged noises. The method adopted a way of image lapping to detect the edges of image exactly in the end. The experimental results show that the algorithm has many advantages on edgedetection such as being more exact and less non-edged noise.
出处
《计算机应用》
CSCD
北大核心
2008年第11期2893-2895,2914,共4页
journal of Computer Applications
基金
重庆市自然科学基金资助项目(CSTC2007BB2450)
关键词
边缘检测
CANNY算法
对数图像处理模型
edge detecting
Canny algorithm
Logarithmic Image Processing (LIP) model