融合PVA聚类和二维直方图的图像分割算法  

Image Segmentation Algorithm Based on PVA Clustering and Two-dimensional Histogram

作　　者：刘璐 史鹏敏 LIU Lu;SHI Pengmin(Xi'an Isoftstone Technology Service Co.,Ltd.,Xi'an Traffic Engineering Institute,Xi'an 710300)

机构地区：[1]西安交通工程学院西安软通动力技术服务有限公司,西安710300

出　　处：《计算机与数字工程》2024年第8期2488-2492,共5页Computer & Digital Engineering

基　　金：中青年基金项目(编号:21KY-42)资助。

摘　　要：针对一维直方图的Vague系统方法在进行图像分割时未考虑与之相邻的信息,提出融合PVA聚类和二维直方图的图像分割算法,该算法核心内容是合理地构造二维直方图,通过搜索与之匹配的元素作为集群样本的元素,利用粒子群能快速寻找最优解的能力,建立新的目标函数以提高聚类效果。Vague system for one-dimensional histogram method does not consider when carries on the image segmentation with the adjacent information,fusion of PVA and two-dimensional histogram clustering image segmentation algorithm is proposed,this algorithm is the core content structure of two-dimensional histogram reasonably,through search matching elements as the cluster sample element,using particle swarm can rapidly find the optimal solution of ability,a new objective function is established to improve the clustering effect.

关 键 词：图像分割 Vague聚类 粒子群 二维直方图 分割效果 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]