Research on Image Retrieval Algorithm Based on Combination of Color and Shape Features

被引：87
|
作者：
Xiong, Zenggang [1 ,2 ]
Tang, Zhiwen [1 ,2 ]
Chen, Xiaowen [1 ]
Zhang, Xue-min [1 ]
Zhang, Kaibin [3 ]
Ye, Conghuan [1 ]
机构：
[1] Hubei Engn Univ, Sch Comp & Informat Sci, Xiaogan 432000, Hubei, Peoples R China
[2] Hubei Univ, Sch Comp Sci & Informat Engn, Wuhan 430062, Hubei, Peoples R China
[3] Xian Polytech Univ, Sch Elect & Informat, Xian 710048, Shanxi, Peoples R China
来源：
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY | 2021年 / 93卷 / 2-3期
基金：
中国国家自然科学基金;
关键词：
Image retrieval; Shape features; Color features; COMMUNICATION; FUSION;
D O I：
10.1007/s11265-019-01508-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the development of content-based image retrieval technology, the retrieval efficiency of image retrieval technology is getting higher and higher. For different data images, image retrieval based on color features and shape features can be used to improve retrieval efficiency. However, when a single image feature is retrieved, its retrieval efficiency still cannot meet people's needs. In this paper, we propose an image retrieval algorithm based on the combination of color and shape features. The cumulative histogram method is used to calculate the color features of the image, and 7 Hu invariant moments are calculated as shape features. The color and shape features are combined with certain weights, and the Euclidean distance is used as the similarity measure. Finally, the image is retrieved, and the related experiments are passed. By comparing with related experiments, the algorithm effectively improves the accuracy of image retrieval.
引用
收藏
页码：139 / 146
页数：8
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