摘要
鉴于局部复杂度不能体现灰度级别变化剧烈程度的局限,对基于局部复杂度的图像过渡区提取算法进行了改进,提出了基于局部模糊复杂度的图像过渡区提取算法。仿真结果表明:算法比采用基于局部复杂度的过渡区提取算法提取的过渡区更为准确,同时也具有更好的抗噪性能。
A novel local fuzzy complexity-based transition region algorithm was proposed in order to improve the performance of the existing local fuzzy complexity-based transition region algorithm. The comparison shows that the proposed algorithm provides higher accuracy than the local complexity-based transition region extraction algorithm does under salt and pepper noise.
出处
《火力与指挥控制》
CSCD
北大核心
2008年第1期25-27,共3页
Fire Control & Command Control
基金
国家自然科学基金(60575013)
航空科学基金资助项目(04I53067)
关键词
图像分割
局部模糊复杂度
过渡区提取
image segmentation,local fuzzy complexity, transition extraction
