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融合整体与局部特征信息的图像检索
引用本文:陈天娥,程载和. 融合整体与局部特征信息的图像检索[J]. 微计算机信息, 2010, 0(10)
作者姓名:陈天娥  程载和
作者单位:无锡职业技术学院计算机技术系;
摘    要:本文提出一种融合整体与局部特征信息的图像检索方法,该方法对改进的HSV色彩空间量化后统计聚类颜色直方图,利用分层分块的思想进行视觉像素的颜色均值和二值化边缘特征的提取,并定义了归一化特征相似度计算公式。检索实验表明,融合后的特征检索,更符合人类视觉感受,检索效果更好。

关 键 词:二值化边缘  视觉像素  特征提取  图像检索  

Image Retrieval Combining Global and Local Features
CHEN Tian-e CHENG Zai-he. Image Retrieval Combining Global and Local Features[J]. Control & Automation, 2010, 0(10)
Authors:CHEN Tian-e CHENG Zai-he
Affiliation:CHEN Tian-e CHENG Zai-he(Computer Technology Department,Wuxi Institute Of Technology,Jiangsu Wuxi,214024,China)
Abstract:A novel image retrieval method combining global and local features was proposed,this method Statistics clustering color histogram in improved HSV color quantization space,and extracts image feature about color mean of vision pixel and binarization edge based on multi-level and multi-block,also defines Similarity computational formula of normalized feature.Experiments show that the retrieval results obtain from combined features fits more closely with human perception,and the proposed method yields better re...
Keywords:Binarization edge  Vision Pixel  Feature Extraction  image retrieval  
本文献已被 CNKI 等数据库收录!
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