摘要
本文提出了一种动态门限分割算法。该方法通过对原始图像的平滑生成一个随原始图像变化的门限曲面,用该曲面即可对原始图像进行分割。本算法特别适用于不均匀背景的图像分割任务,并且其已被应用于流体中固体颗粒的提取。
A adaptive thresholding algorithm is proposed. In this method, the thresholding surface is determined by smoothing the original image, and then, the original image is segmented with this thresholding surface. It is especially suitable for the segmentation of uneven-background images and it's application to partical extraction in fluid is also presented.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1995年第3期232-236,共5页
Pattern Recognition and Artificial Intelligence
关键词
动态门限分割
残差分析
图像平滑
图像分割
Adaptive Variable Thresholding, Residual Analysis, Image Smoothing.
