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基于DRF模型的自然背景中人造目标的检测算法
引用本文:潘聪, 王向军, 文鹏程. 基于DRF模型的自然背景中人造目标的检测算法[J]. 红外技术, 2008, 30(7): 391-394. DOI: 10.3969/j.issn.1001-8891.2008.07.006
作者姓名:潘聪  王向军  文鹏程
作者单位:天津大学,精密测试技术及仪器国家重点实验室,天津,300072;天津大学,精密测试技术及仪器国家重点实验室,天津,300072;天津大学,精密测试技术及仪器国家重点实验室,天津,300072
摘    要:自然背景中人造目标的检测是计算机视觉、模式识别、机器学习和图像处理领域中非常活跃的研究课题.概率模型的方法为该问题的解决提供了新的研究途径,其中基于DRF模型的人造目标检测算法是一种最新发展的检测算法,仿真结果表明,该算法漏检率和误检率低,检测效果良好.

关 键 词:图像分类  概率模型  logistic  MRF  DRF

The Algorithm of Detecting Man-made Objects in Natural Background Based on DRF Model
PAN Cong, WANG Xiang-jun, WEN Peng-cheng. The Algorithm of Detecting Man-made Objects in Natural Background Based on DRF Model[J]. Infrared Technology , 2008, 30(7): 391-394. DOI: 10.3969/j.issn.1001-8891.2008.07.006
Authors:PAN Cong  WANG Xiang-jun  WEN Peng-cheng
Affiliation:PAN Cong,WANG Xiang-jun,WEN Peng-cheng(National Laboratory of Precision Measurement Technology , Instruments,Tianjin University,Tianjin 300072,China)
Abstract:Man-made objects detection in natural background is a very active area of research in fields such as computer vision,pattern recognition,machine learning,and image processing.Probabilistic methods have been applied to the problem with varying degrees of success.The algorithm based on Discriminative Random Field is one kind of methods for detecting man-made objects in natural background reported recently.The experimental results show that it is an effective algorithm with few false-positives and high accurac...
Keywords:image classification  probabilistic model  logistic  MRF  DRF  
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