An Improved Image Retrieval Method Based On Color Spatial Distribution and Shape Curve of Object
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{JICS-6-213,
author = {Wenbing Chen and Qin Xu},
title = {An Improved Image Retrieval Method Based On Color Spatial Distribution and Shape Curve of Object},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {3},
pages = {213--226},
abstract = { Currently, the low-level image features such as color, texture, and shape are widely used for
content-based image retrieval. However, it is rather difficult to realize an exact match between two images by
using a single feature. To address this problem, a method combining color spatial distribution and shape of
the object is presented. In this method, firstly, an improved mean shift algorithm is presented to segment an
image into clusters. Secondly, based on these clusters a novel histogram is defined. Thirdly, based on each
cluster, the shape curve of an object is extracted. Finally, integrating the information of color and shape of
the objects in an image, a novel similarity measure is presented to realize an exact match between two images.
Experimental results show that our method can efficiently increase match precision.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22678.html}
}
TY - JOUR
T1 - An Improved Image Retrieval Method Based On Color Spatial Distribution and Shape Curve of Object
AU - Wenbing Chen and Qin Xu
JO - Journal of Information and Computing Science
VL - 3
SP - 213
EP - 226
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22678.html
KW - image retrieval, principal cluster, shape curve, boundary point, transformation invariance.
AB - Currently, the low-level image features such as color, texture, and shape are widely used for
content-based image retrieval. However, it is rather difficult to realize an exact match between two images by
using a single feature. To address this problem, a method combining color spatial distribution and shape of
the object is presented. In this method, firstly, an improved mean shift algorithm is presented to segment an
image into clusters. Secondly, based on these clusters a novel histogram is defined. Thirdly, based on each
cluster, the shape curve of an object is extracted. Finally, integrating the information of color and shape of
the objects in an image, a novel similarity measure is presented to realize an exact match between two images.
Experimental results show that our method can efficiently increase match precision.
Wenbing Chen and Qin Xu. (2024). An Improved Image Retrieval Method Based On Color Spatial Distribution and Shape Curve of Object.
Journal of Information and Computing Science. 6 (3).
213-226.
doi:
Copy to clipboard