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基于克隆选择算法的花卉图像分割 被引量:3

Flowers image segmentation based on clonal selection algorithm
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摘要 为了准确分割出花卉图像中的花朵,针对这类图像的特点,提出了一种基于克隆选择算法和OTSU(最大类间方差)法的双阈值彩色图像分割法。在HSV颜色空间中对图像进行颜色量化,计算出花卉的大致颜色,依据颜色种类对图像进行分量算子预处理,运用克隆选择算法对上一步中得到的结果矩阵自学习,得到全局最优的阈值,从而实现图像分割。实验结果表明,该方法无需人工干预,分割效果良好,且大大缩短了计算时间,具有一定的实用性。 In order to separate out the petals from flower images,a double threshold color image segmentation method is proposed in this paper based on clonal selection algorithm and maximum classes square.The color of images is quantified in the HSV color space and the color of flowers is calculated automatically.The component operators make a pretreatment to images according as color category.Clonal selection algorithm analyses matrix got from the last step and counts out the global optimal threshold.Experimental results show that,the proposed method realizes automatic segmentation.This algorithm is effective,shortens computing time and is feasible.
作者 刘倩 仇宾
出处 《计算机工程与应用》 CSCD 2012年第14期185-189,202,共6页 Computer Engineering and Applications
基金 国家自然科学基金(No.10972011)
关键词 花卉 图像分割 克隆选择 颜色量化 最大类间方差 双阈值 flowers image segmentation clonal selection color quantization OTSU double threshold
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  • 1张向荣,焦李成.基于免疫克隆选择算法的特征选择[J].复旦学报(自然科学版),2004,43(5):926-929. 被引量:23
  • 2丛琳,沙宇恒,焦李成.基于免疫克隆选择算法的图像分割[J].电子与信息学报,2006,28(7):1169-1173. 被引量:21
  • 3牛永洁,陈莉.基于混合神经网络的入侵检测技术[J].微计算机信息,2006(12X):92-94. 被引量:7
  • 4吴思远,刘孙俊,王电钢.一种基于免疫的入侵检测动态响应模型[J].重庆邮电大学学报(自然科学版),2007,19(5):635-638. 被引量:1
  • 5de Castro L N,Tmanis J.Artificial Immune Systems:A New Computational Intelligence Approach[M] .British:Springer Press,2002.
  • 6Das S, Suganthan P N. Differential evolution: a survey of the state of-the-art[J]. IEEE Transactions on Evolutionary Compu tation,2011,15(1):4 31.
  • 7Angira R,Babu B V. Optimization of process synthesis and de- sign problems: a modified differenlial evolution approach [J]. Chemical Engineering Science, 2006,61 ( 14 ) : 4707 4721.
  • 8Babu B V,Angira R. Modified differential evolution (MDE) for optimization of nonlinear chemical processes [J]. Computer and Chemical Engineering, 2006,30(6) : 989-1002.
  • 9de Castro L N, Tmanis J. Artificial Immune Systems: A New Computational Intelligence Approach [ M]. British: Springer Press, 2002.
  • 10Leandro N de C, Fernando J Von Z. Learning and optimization using the clonal selection principle[J1. IEEE Transactions on Evolutionary Computation, 2002 (3) : 239-251.

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