Research on Industry Image Technology with the Integration Algorithm of Color Features and Feedback of Image Retrieval

Author:

Zhang Shui Li1

Affiliation:

1. Yan’an University

Abstract

Current image retrieval methods use only one kind of image features, which can not describe image content completely. In this paper, an image retrieval method based on color and texture integration is proposed. Calculation of similarity for the individual features is normalized before color feature integration. In order to improve the precision of image retrieval, a relevance feedback mechanism is invoked. The experiment results show that the proposed method has an excellent retrieval performance.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference8 articles.

1. Penatti O A B, Valle E, Torres R S. Comparative Study of Global Color and Texture Descriptors for Web Image Retrieval. Journal of Visual Communication and Image Representation, 2012, 23 (2): 359-380.

2. S.P. Xu , X.P. Lie , C.Q. Li , et al.: LBP Value-based Texture Descriptor of Spatial Statistical Character*[J]. Pattern Recognition and Artificial Intelligence, 2013, 26(8): 769-776.

3. Y.J. Zhang : Image Processing and Analysis, Tsinghua University Press, Beijing: (1999).

4. X. Xu: Study on Visual Features-based Image Retrieval System[D], Zhejiang University, Hangzhou, (1999).

5. Ojala T, Pietikinen M, Maenpaa T. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987.

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1. Research on Image Retrieval with Multi-features;Journal of Physics: Conference Series;2019-11-01

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