Image retrieval using locality preserving projections

被引：0
|
作者：
Putchanuthala, Ramesh Babu [1 ]
Reddy, E. Sreenivasa [1 ]
机构：
[1] Acharya Nagarjuna Univ, Coll Engn & Technol, Guntur, Andhra Pradesh, India
来源：
JOURNAL OF ENGINEERING-JOE | 2020年 / 2020卷 / 10期
关键词：
decision trees; image classification; feature extraction; image retrieval; face recognition; principal component analysis; locality preserving projections; web surfing; image retrieval algorithms; low retrieval rates; retrieval rate; Yale facial image dataset;
D O I：
10.1049/joe.2020.0036
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In web surfing, image retrieval algorithms play a vital role. Many algorithms are existing but they have their drawbacks and also low retrieval rates. Locality preserving projections is a novel method for image retrieval proposed in this study. As the method includes principal component analysis, nearest neighbour and eigen features in extracting the hyper parameters for classification, it has better retrieval rate. This novel approach is tested using the Yale facial image dataset and the performance of the algorithm is tested by using different classifiers like Decision Tree etc.
引用
收藏
页码：889 / 892
页数：4
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