| 优良模式自学习遗传算法在阈值选取中的应用 |
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| 引用本文： | 曹力,史忠科. 优良模式自学习遗传算法在阈值选取中的应用[J]. 计算机工程, 2002, 28(9): 37-39 |
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| 作者姓名： | 曹力 史忠科 |
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| 作者单位： | 西北工业大学自动控制系,西安,710072;香港理工大学电机工程系 |
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| 基金项目： | 国家自然科学基金资助项目(69874031) |
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| 摘 要： | 针对现有图像处理过程中阀值选取优化方法中存在的计算效率低,易陷入局部最优等不足,研究采用优良模式学习算法,求取图像阈值,通过对类间方差的优化,表明该文算法优越性,实验结果进一步证实了该文算法优良,高效,针对图像特点,利用优良模式自学习遗传算法,提出了一种阈值自动选取的策略,提高了阈值选取的准确性及寻优速度。实验结果表明了该文提出算法的可行性。
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| 关 键 词： | 阈值 类间方差 熵判据 遗传算法 |
| 文章编号： | 1000-3428(2002)09-0037-03 |
| 修稿时间： | 2001-07-25 |
The Excellent Schema Self-learning Genetic Algorithm Approach to the Selection of Image Threshold |
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| Eric Ka-wai Cheng. The Excellent Schema Self-learning Genetic Algorithm Approach to the Selection of Image Threshold[J]. Computer Engineering, 2002, 28(9): 37-39 |
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| Authors: | Eric Ka-wai Cheng |
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| Abstract: | In this paper, an optimal strategy of automatic selection of image threshold based on an excellent schema self-learning genetic algorithm is studied. Using it to maximum classes square error shows that this method can improve accuracy during selecting the thresholds and accelerate the optimal process. The experimental result also confirms that the new strategy is very effective on selecting image thresholds. |
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| Keywords: | Threshold Classes square error Entropy criterion Genetic algorithms |
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