| 基于遗传算法的生物组织图像最佳挖取点寻优 |
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| 引用本文： | 王朝晖,李莉,李引生,蒋庄德. 基于遗传算法的生物组织图像最佳挖取点寻优[J]. 光学精密工程, 2005, 13(2): 231-236 |
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| 作者姓名： | 王朝晖 李莉 李引生 蒋庄德 |
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| 作者单位： | 西安交通大学,机械工程学院,陕西,西安,710049;国家微检测系统工程技术研究中心,陕西,西安,710069 |
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| 基金项目： | 国家“十五”863生物芯片重大专项资助(No.2002AA2Z2031) |
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| 摘 要： | 生物组织微阵列芯片的制备过程中,需要从包埋有生物组织的蜡块中挖取一块直径为0.5~1.5 mm的组织蜡柱。为了实现自动化作业,研究了基于数字图像处理的组织蜡柱最佳挖取点计算机寻优策略。确定了问题的数学描述为在选定组织图像区域中寻找最大内切圆的圆心,提出了基于遗传算法的寻优算法。重点探讨了坐标点编码,参数选取和遗传操作方法等。研究了个体适应度快速计算方法,初始种群选择等算法改进方案。经过实际编程反复数次实验,结果表明迭代60次算法完全收敛,证明其搜索速度和稳定性都比较好,完全满足自动化作业的在线计算要求。
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| 关 键 词： | 组织微阵列 数字图像 遗传算法 |
| 文章编号： | 1004-924X(2005)02-0231-06 |
| 收稿时间： | 2005-01-14 |
| 修稿时间： | 2005-01-14 |
Seeking of tissue image digging point method based on genetic-arithmetic |
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| WANG Chao-hui,LI Li,LI Yin-sheng,JIANG Zhuang-de. Seeking of tissue image digging point method based on genetic-arithmetic[J]. Optics and Precision Engineering, 2005, 13(2): 231-236 |
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| Authors: | WANG Chao-hui LI Li LI Yin-sheng JIANG Zhuang-de |
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| Affiliation: | 1. Mechanical Engineering School, Xi'an Jiaotong University, Xi'an 710049,China;
2. National Engineering Research Center for Miniaturized Detection System,Xi'an 710069,China |
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| Abstract: | For tissue-micro-array manufacture automatization, the fitness point seeking in the wax where the tissue sample to be picked up was studied. Based on digital image of tissue, the mathematical model of seeking was described as seeking the biggest inscribed circle center in the tissue area. The seeking method based on genetic-arithmetic was researched, including the code principle, parameters selection and the implementing method. The arithmetic improvement consists of fitness calculation and initialization selection, etc. The results of theory analysis and experiment prove that this arithmetic is effective and useful to fulfill the on-line manipulation. |
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| Keywords: | bio-tissue micro array digital image genetic-arithmetic |
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