| 基于遗传算法的织物印花图案的分割 |
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| 引用本文： | LIU Jian-li,左保齐.基于遗传算法的织物印花图案的分割[J].计算机工程与设计,2008,29(15). |
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| 作者姓名： | LIU Jian-li 左保齐 |
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| 作者单位： | 苏州大学材料工程学院,江苏,苏州,215021 |
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| 基金项目： | 江苏省六大人才高峰基金 |
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| 摘 要： | 印花图案分割是印花工艺中一个重要步骤,采用遗传算法优化的二维最大熵法对织物印花图案进行分割,以提高分割速度和精确度.为了消除织物纹理噪音的影响,采用最大熵值法对织物印花图案进行分割.在采用最大熵值法分割时,为了提高在二维直方图空间中最佳阈值的搜索速度,引入了遗传算法.采用遗传算法优化的最大熵阈值法能快速、准确地对织物印花图案进行分割,且分割后图像边缘连续,轮廓清晰.
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| 关 键 词： | 遗传算法 二维最大熵值法 印花图案 图像分割 最佳阈值 纹理噪音 |
Segmentation of pattern of printed fabric based on genetic algorithm |
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| LIU Jian-li,ZUO Bao-qi.Segmentation of pattern of printed fabric based on genetic algorithm[J].Computer Engineering and Design,2008,29(15). |
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| Authors: | LIU Jian-li ZUO Bao-qi |
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| Affiliation: | LIU Jian-li,ZUO Bao-qi(College of Material Engineering,Soochow University,Suzhou 215021,China) |
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| Abstract: | The segmentation of pattern is an important processing of fabric printing production.A segmentation method for pattern of printed fabric based on 2D maximum entropy method optimized with genetic algorithm is proposed.To eliminate the effect of textural noise,2D maximum entropy method is executed to segmentation the pattern of printed fabric.Genetic algorithm is adopted to improve the search speed of optimal threshold in the 2D histogram,when pattern segmentation is carried out using 2D maximum entropy metho... |
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| Keywords: | genetic algorithm 2D maximum entropy method pattern of printed fabric image segmentation optimal threshold value textural noise |
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