直觉模糊遗传算法在图像信息检索中的应用  

Application of Intuitionistic Fuzzy Genetic Algorithm in Image Information Search

作　　者：祁金佺[1] 

机构地区：[1]河西学院信息技术与传媒学院,甘肃张掖734000

出　　处：《自动化与仪器仪表》2013年第6期100-101,105,共3页Automation & Instrumentation

摘　　要：针对传统图像元素检索方法工作量大、完整性较差等缺点,本文提出了一种新的图新元素检索方法,该方法基于直觉模糊理论和遗传算法,利用直觉模糊算法提取图像信息序列特征值,再经过遗传算法的选择、交叉和变异操作,获得图像信息序列的组合。实验结果证明:该算法具有隐性并行性和全局寻优能力,可在不降低速度的情况下提高图像检索的精度。According to the traditional image information search methods＇ shortcoming of bigger workload and poor integrity, this paper proposes a new image information search method, which based on intuitionistic fuzzy algorithm and genetic algorithm, us- ing intuitionistic fuzzy algorithm to extract each image information sequence features, then, after selection, crossover and mutation operations to combinate to get the image information sequence. Experimental results show that the algorithm has the implicit paral- lelism and global searching ability, which can be in improving image information search precision under the condition of no reduc- tion velocity.

关 键 词：直觉模糊理论 遗传算法 元素方图 图像信息 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TP181.2[自动化与计算机技术—计算机科学与技术]