Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018)

Research on Image Retrieval Algorithm Based on Shape Analysis

Authors
Lei Ao, Cheng Zhang, Yuchen Wei
Corresponding Author
Lei Ao
Available Online July 2018.
DOI
10.2991/essaeme-18.2018.76How to use a DOI?
Keywords
Texture, Co-occurrence matrix, Roughness, Contrast, Directionality
Abstract

The texture in digital images is the spatial correlation of the gray or color of adjacent pixels, or the visual representation of the change of image gray level and color space position, which can be expressed as edges, shapes, stripes, color blocks and so on. Therefore, to extract the texture features by the method of mathematics or information theory, the image grayscale or color space overall or each side with digital feature representation, then using texture analysis method to detect the texture element texton and access to relevant information distribution arrangement.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2018
ISBN
10.2991/essaeme-18.2018.76
ISSN
2352-5398
DOI
10.2991/essaeme-18.2018.76How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Ao
AU  - Cheng Zhang
AU  - Yuchen Wei
PY  - 2018/07
DA  - 2018/07
TI  - Research on Image Retrieval Algorithm Based on Shape Analysis
BT  - Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018)
PB  - Atlantis Press
SP  - 410
EP  - 414
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-18.2018.76
DO  - 10.2991/essaeme-18.2018.76
ID  - Ao2018/07
ER  -