计算机应用研究2013，Vol.30Issue(2)：598-600,3.DOI:10.3969/j.issn.1001-3695.2013.02.078
基于自适应加权中值滤波的二维Otsu图像分割算法
Two-dimensional Otsu image segmentation algorithm based on adaptive weighted median filter
摘要
Abstract
The traditional two-dimensional Otsu image segmentation algorithm got ineffectively result in the image segmentation while the image contains lots of noise. To solve the problem, this paper proposed a new two-dimensional Otsu image segmentation algorithm based on adaptive weighted median filter. This method firstly preprocessed the image with noise by a new adaptive weighted median filter,then transferred the region division in two-dimensional histogram of median image from four partitions into two partitions,finally segmented the image accurately by an improved two-dimensional Otsu algorithm. The experimental results show that the proposed algorithm has better anti-noise performance and better segmentation result for image with noise.关键词
加权中值滤波/二维Otsu/图像分割/阈值选取Key words
weighted median filter/two-dimensional Otsu/image segmentation/threshold selection分类
信息技术与安全科学引用本文复制引用
倪麟,龚劬,曹莉,廖武忠..基于自适应加权中值滤波的二维Otsu图像分割算法[J].计算机应用研究,2013,30(2):598-600,3.基金项目
中央高校基本科研业务费基金资助项目(CDJXS11100032) （CDJXS11100032）
