基于粗糙集和遗传算法在锅炉火焰图像分割中的研究

摘要

粗糙集善于从不明确数据集中发现有价值信息，锅炉火焰图像不确定信息量较为复杂，利用粗糙集并结合遗传算法对火焰图像进行分割优化，通过Matlab进行仿真，仿真结果表明，粗糙集工具结合遗传算法提高了图像分割的准确性，具有很好应用价值。%The rough set can be used to extract valuable information from fuzzy data, and the uncertainty of boiler flame image is complex. The segmentation and optimization of boiler flame image is achieved with the rough set combined with the genetic algorithm and the simulation is finished with Matlab. The results show that the accuracy of boiler flame image segmentation can be increased with the rough set combined with the genetic algorithm and it has the significant application value.