火力与指挥控制2016，Vol.41Issue(7)：48-51,4.
一种基于显著性区域的图像分割算法
Image Segmentation based on Salient Regions
摘要
Abstract
To overcome problems existing in traditional segmentation methods based on salient regions (such as spectral leakage, unreached subpixel accuracy), this paper proposes a novel segmentation algorithm based on salient regions. First, we utilize the Lucas-Kanade registration method to estimate the minimal period of a large of recurring patterns, where the background model can be reconstructed accurately. Second, “generalized neighboring pixels”are proposed, based on which the median filter with adaptive size is designed for extracting the foreground. Finally, we speed up the traditional median filter to reduce the complexity significantly. Experimental results demonstrate the algorithm deals with the segmentation task precisely and efficiently, which is suitable for extracting the foreground from images with a large of recurring patterns.关键词
图像分割/显著性区域/中值滤波/金字塔模型/双线性插值Key words
image segmentation/salient regions/median filter/pyramid model/bi-linear interpolation分类
计算机与自动化引用本文复制引用
房晓东..一种基于显著性区域的图像分割算法[J].火力与指挥控制,2016,41(7):48-51,4.基金项目
广东省自然科学基金-博士科研启动项目（2014A030310380）；国家教育部重点课题（GJA104009）；东莞职业技术学院重大教学改革基金资助项目（JGZBXM2013002）。 （）
