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/).
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 -