快速傅立叶变换在苹果形状识别中的应用  

Numerical integral method research based on Cloud Adaptive Particle Swarm Opti-mization algorithm

作　　者：梁莉莉[1] 韦修喜[2] 

机构地区：[1]广西民族大学理学院,南宁530006 [2]广西国际商务职业技术学院信息工程系,南宁530007

出　　处：《计算机工程与应用》2012年第24期53-56,84,共5页Computer Engineering and Applications

基　　金：广西自然科学基金（No.0991086）; 广西教育厅科研项目（No.201010LX088）; 广西混杂计算与集成电路设计分析重点实验室资助

摘　　要：介绍了快速傅立叶变换在苹果形状识别中的应用,首先需要将苹果图像的边缘像素进行极坐标转换,经过FFT变换后的数据较多,因此还需采用主成份分析法对其进行处理,得到能够描述苹果形状的两个主成份值。In order to improve robustness of the traditional adaptive particle swarm optimization algorithm, a novel adaptive algorithm which is called Cloud Adaptive Particle Swarm Optimization algorithm （CAPSO） is proposed. In the CAPSO, the inertia weight is adaptively varied depending on X-conditional cloud generator. CAPSO can improve its convergence capacity because of the stable tendency of cloud model. Meanwhile, it can remarkably avoid a local minimum using the randomness of cloud model to maintain diversity in the population. The performance of the CAPSO which is used for solving numerical integral of any function shows that the presented numerical integral al- gorithm has value in engineering practice.

关 键 词：快速傅立叶变换 苹果 形状 主成分分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]