基于预测的边缘检测方法

Boundary Detection Based on Prediction

  • 摘要: 提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性

     

    Abstract: This paper presents a self\|adaptive algorithm based on prediction, introduces the theory of the algorithm and gives many examples and comparisons. The algorithm computes the mean and std. diff. of current and previous pixels' density to estimate the next point's density range: if the next point's density falls in the range, it is not a boundary point; otherwise, it may be a boundary point. The results show that the algorithm of image boundary detection is more effective than the others.

     

/

返回文章
返回