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    常青, 钟民先. 基于耗散结构的改进遗传算法求取红外图像二维阈值[J]. 华东理工大学学报(自然科学版), 2005, (5): 639-643.
    引用本文: 常青, 钟民先. 基于耗散结构的改进遗传算法求取红外图像二维阈值[J]. 华东理工大学学报(自然科学版), 2005, (5): 639-643.
    CHANG Qing , ZHONG Min-xian. An Improvement of Two-Dimensional Threshold Segmentation Algorithm for Infrared Image[J]. Journal of East China University of Science and Technology, 2005, (5): 639-643.
    Citation: CHANG Qing , ZHONG Min-xian. An Improvement of Two-Dimensional Threshold Segmentation Algorithm for Infrared Image[J]. Journal of East China University of Science and Technology, 2005, (5): 639-643.

    基于耗散结构的改进遗传算法求取红外图像二维阈值

    An Improvement of Two-Dimensional Threshold Segmentation Algorithm for Infrared Image

    • 摘要: 在二维阈值化分割算法的基础上,提出了一种新的改进分割算法运算效率的遗传算法,在对耗散系统理论研究的基础上,将简单遗传法与耗散结构相结合,构成一种新的算法,并对该算法求解红外图像二维阈值问题进行了仿真研究。仿真计算结果表明:用这种方法求解红外图像二维阈值分割问题,计算效率大大提高,而且求解性能较简单遗传算法有很大的改善。

       

      Abstract: Based on two-dimensional thresholding segmentation algorithm for IR image,the method of 2D maximum classes square error is taken as an example to analyse the shortcoming of the method,then a novel genetic algorithm is presented by combining simple genetic algorithm(GA) and dissipative system theory for segmentation problem.Simulation research on selection of IR image thresholds is carried out for this method.The experimental results demonstrate effectiveness of this method and the comparison results also show at DGA is greatly superior to simple GA.

       

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