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一种基于无约束总变分模型的阴影检测方法
引用本文:曹爽,吴晓红,贾晓敏.一种基于无约束总变分模型的阴影检测方法[J].南京气象学院学报,2010(6):548-552.
作者姓名:曹爽  吴晓红  贾晓敏
作者单位:河海大学地球科学与工程学院, 南京 210098;南京信息工程大学遥感学院, 南京 210044;唐山学院土木工程系, 唐山 063000;山西省电力勘测设计院, 太原 030001
摘    要:阴影检测是进行阴影处理前的重要步骤,总变分模型可以用于影像阴影检测.通过对总变分模型进行改进,提出了一种基于无约束总变分模型的阴影检测方法.经实验及统计分析证明,在合适的迭代条件下,该方法对于单一阴影影像的处理效果理想.

关 键 词:阴影检测  总变分  无约束
收稿时间:2010/8/2 0:00:00

A shadow detection method based on unconstrained total variation model
CAO Shuang,WU Xiaohong and JIA Xiaomin.A shadow detection method based on unconstrained total variation model[J].Journal of Nanjing Institute of Meteorology,2010(6):548-552.
Authors:CAO Shuang  WU Xiaohong and JIA Xiaomin
Institution:School of Earth Sciences and Engineering, Hohai University, Nanjing 210098;School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044;Civil Engineering Department of Tangshan College, Tangshan 063000;Shanxi Electric Power Exploration & Design Institute, Taiyuan 030001
Abstract:Shadow detection is an important step in the shadow phenomenon,and the total variational model can be used in shadow detection.This paper improves the TV model,and puts forward a shadow detection algorithm based on unconstrained total variation.After the experiments with several real images and statistical analysis,it shows that the unconstrained total variational shadow detection is valid for single iterative images.Total variation model can be used in shadow detection,which is an important step before shadow processing.An unconstrained total variation model is proposed to detect shadow,based on the improvement of variation model.Experiment and statistical analy-sis show that the model can detect shadow of single image under appropriate iteration conditon.
Keywords:shadowdetection  totalvariation  unconstrained
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