基于四叉树算法的智能实时图像识别模型设计与分析  

Design and Analysis of Intelligent Real-time Image Recognition Model Based on Quadtree Algorithm

作　　者：郦丽华[1] LI Li-hua(Zhejiang Yuying College of Vocational Technology,Hangzhou 310018,China)

机构地区：[1]浙江育英职业技术学院,杭州310018

出　　处：《价值工程》2023年第1期129-131,共3页Value Engineering

摘　　要：图像识别与特征提取为图像处理中的基本技术,只是根据单一图像特征无法可靠、精准地描述图像信息。通过四叉树分裂合并特点,提出了基于四叉树算法的智能实时图像识别模型。通过四叉树实现图像区域分割,之后提取分割图像的颜色直方图信息,利用局部特征算法提取特融合特征信息,对图像特征信息进行识别。最后,实现此方法的实例仿真,结果表明提取完整特征能够将图像特征信息表示出来,而且冗余度比较小,尺度不变形。Image recognition and feature extraction are the basic technologies in image processing.It is impossible to describe image information reliably and accurately according to a single image feature.According to the characteristics of quadtree splitting and merging,an intelligent real-time image recognition model based on quadtree algorithm is proposed.Image region segmentation is realized through quadtree,then the color histogram information of the segmented image is extracted,and the special fusion feature information is extracted by local feature algorithm to recognize the image feature information.Finally,the example simulation of this method is realized.The results show that the extracted complete features can express the image feature information,and the redundancy is relatively small and the scale is not deformed.

关 键 词：四叉树算法 智能识别 图像识别 特征信息 实例仿真 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]