[1]吴诗婳,吴一全,周建江.直线截距直方图城区遥感图像多阈值分割[J].智能系统学报,2018,13(2):227-235.[doi:10.11992/tis.201609012]
WU Shihua,WU Yiquan,ZHOU Jianjiang.Multi-level thresholding for remote sensing image of urban area based on line intercept histogram[J].CAAI Transactions on Intelligent Systems,2018,13(2):227-235.[doi:10.11992/tis.201609012]
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WU Shihua,WU Yiquan,ZHOU Jianjiang.Multi-level thresholding for remote sensing image of urban area based on line intercept histogram[J].CAAI Transactions on Intelligent Systems,2018,13(2):227-235.[doi:10.11992/tis.201609012]
直线截距直方图城区遥感图像多阈值分割
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
13
期数:
2018年第2期
页码:
227-235
栏目:
学术论文—机器感知与模式识别
出版日期:
2018-04-15
- Title:
- Multi-level thresholding for remote sensing image of urban area based on line intercept histogram
- Keywords:
- extraction of urban area; remote sensing image; image segmentation; thresholding; multi-level threshold selection; straight-line intercept histogram; reciprocal grayscale entropy; optimization of artificial bee colony
- 分类号:
- TP751.1;P237
- 摘要:
- 阈值分割简单有效，但现有的单阈值方法对城区图像分割效果不佳，难以取得令人满意的结果。为了快速准确地对城区遥感图像进行分割，本文提出了基于直线截距直方图倒数灰度熵和人工蜂群优化（artificial bee colony optimization, ABC）的多阈值分割方法。首先，给出直线截距直方图的定义并建立城区遥感图像的直线截距直方图；然后，计算该直方图倒数灰度熵的大小，推导出其单阈值选取公式；最后，将其推广到多阈值选取，并利用人工蜂群优化算法，对多个阈值进行快速精确地寻优，以此最终实现城区遥感图像的多阈值分割。实验结果表明，该方法所分割的图像中多目标的形状、边缘更为准确，纹理及细节特征更加清晰，且所需运行时间仅为同类多阈值分割方法的25%，是一种行之有效的城区遥感图像分割方法。
- Abstract:
- Threshold segmentation is a kind of simple and effective method, however, the existing single-threshold method is hard to realize satisfactory effect in segmenting the images of urban area. In order to segment the remote sensing images of urban area quickly and accurately, a multi-threshold segmentation method based on straight-line intercept histogram, reciprocal grayscale entropy and Artificial Bee Colony (ABC) Optimization was proposed in the paper. Firstly, the straight-line intercept histogram was defined and the straight-line intercept histogram of the urban remote sensing image was established; then the value of the reciprocal grayscale entropy of the histogram was calculated and the single-threshold selection formula was deduced; finally, the application was popularized to multi-threshold selection, ABC Optimization algorithm was utilized for precise optimization of many thresholds, so as to finally realize the multi-threshold segmentation of urban remote sensing images. A large number of experiments show that, the multi-object shape and edge in the images segmented by the method are more accurate, the textures and details are more explicit, in addition, its running time is only 25% of other similar multi-threshold segmentation methods. This is a kind of effective method for segmenting the remote sensing images of urban area.
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备注/Memo
收稿日期:2016-09-28。
基金项目:国家自然科学基金项目（61573183）；城市空间信息工程北京市重点实验室开放基金项目（2014203）；江西省数字国土重点实验室开放基金项目（DLLJ201412）；江苏省大数据分析技术重点实验室开放基金项目（KXK1403）；浙江省信号处理重点实验室开放基金项目（ZJKL_6_SP-OP2014-02）；江苏高校优势学科建设工程项目（2012）.
作者简介:吴诗婳,女,硕士研究生,主要研究方向为图像处理。发表学术论文多篇;吴一全,男,教授,博士生导师,博士,主要研究方向为图像处理与分析、目标检测与识别、智能信息处理。发表学术论文280余篇;周建江,男,教授,博士生导师,博士,主要研究方向雷达目标特性分析、特征控制与目标识别、机载电子信息系统、DSP技术。
通讯作者:吴一全.E-mail:nuaaimage@163.com.
更新日期/Last Update:
1900-01-01