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图像分割的性能评估 被引量:9

THE EVALUATION OF IMAGE SEGMENTATION
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摘要 分割是自动目标识别系统(ATRS)的关键部分,其结果直接影响着其后的信息处理过程.评估分割算法的性能是ATRS离线评估的重要组成之一,本文提出了一个确定分割算法性能指标的规则,并据此建立了一种新的依赖于目标在图像上的面积因素和形状因素的指标计算方法,应用实例显示出它对于分割算法的性能评估比其它的一些方法更为合理. Segmentation is the key component in automatic target recognition systems. Its results have critical implications for the information processing stragies that follow. The evaluation of a segmentation algorithm takes an important role in the estimation of performance for an off-line ATRS. In this paper, some criteria to determin metrics for the evaluation of segmentation algorithms are presented. According to these criteria, a new method to calculate the metrics based on the area factors and form factors of targets on an image is established. Its application shows that the new method is more reasonable than other methods.
出处 《模式识别与人工智能》 EI CSCD 北大核心 1996年第2期144-148,共5页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金
关键词 自动目标识别 性能评估 图像识别 图像分割 Automatic Target Recognition, Segmentation, Performance Evaluation.
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同被引文献25

  • 1郭戈,平西建,胡敏.分水岭算法在重叠细胞图象分割中的应用[J].微计算机信息,2005,21(08X):68-69. 被引量:10
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  • 4[4]Ng W S, et al. Comment on Using the Uniformity Measure for Performance Measure in Image Segmentation. IEEE Trans. on PAMI, 1996,18(9): 933~934
  • 5[6]Cho K,et al. Performance Assessment Through Bootstrap. IEEE Trans. on PAMI,1997,19(11) :1185~1198
  • 6邓雁萍,模式识别与人工智能,1996年,6期,144页
  • 7傅立,灰色系统理论及其应用,1992年,10页
  • 8Ng W S,IEEE Trans PAMI,1996年,18卷,9期,933页
  • 9Lie Wennung,Signal Processing,1993年,33卷,1期,121页
  • 10Hoover A,IEEE Trans PAMI,1996年,18卷,7期,673页

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