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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
【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。
【Abstract】 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, using 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 parallelism and global searching ability, which can be in improving image information search precision under the condition of no reduction velocity.
【Key words】 Intuitionistic fuzzy theory; Genetic algorithm; Elements histogram; Image information;
- 【文献出处】 自动化与仪器仪表 ,Automation & Instrumentation , 编辑部邮箱 ,2013年06期
- 【分类号】TP18;TP391.3
- 【下载频次】56