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基于遗传算法的强化木地板表面缺陷的图像分割
引用本文:张健,鲍际平,杨丽丽. 基于遗传算法的强化木地板表面缺陷的图像分割[J]. 林业机械与木工设备, 2008, 36(7)
作者姓名:张健  鲍际平  杨丽丽
作者单位:北京林业大学工学院,北京,100083
摘    要:强化木地板表面质量的图像检测技术在我国尚属空白.本文将遗传算法应用于强化木地板表面缺陷的图像分割,利用最大熵准则作为算法的适应度函数.实验表明,该算法可较准确地分割出强化木地板的表面缺陷,是一种有效的图像分割方法.

关 键 词:强化木地板  遗传算法    图像分割

Genetic Algorithm-based Image Segmentation of the Surface Defects of Laminate Flooring
ZHANG Jian,BAO Ji-ping,YANG Li-li. Genetic Algorithm-based Image Segmentation of the Surface Defects of Laminate Flooring[J]. Forestry Machinery & Woodworking Equipment, 2008, 36(7)
Authors:ZHANG Jian  BAO Ji-ping  YANG Li-li
Abstract:Image detection technology of the surface defects of laminate flooring is still a blank space in China.Using fitness function based on maximum entropy criterion,genetic algorithms are used for the image detection of the surface defects of laminate flooring.The experimental results show that the algorithm is an effective image segmentation method which can detect the surface defects of laminate flooring very accurately.
Keywords:laminate flooring  genetic algorithm  entropy  image segmentation
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