Multi-clues image retrieval based on improved color invariants

Liu Liu; Jian-Xun Li

doi:10.1117/1.OE.51.5.057003

4 May 2012 Multi-clues image retrieval based on improved color invariants

Liu Liu, Jian-Xun Li

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Optical Engineering, Vol. 51, Issue 5, 057003 (May 2012). https://doi.org/10.1117/1.OE.51.5.057003

Abstract

At present, image retrieval has a great progress in indexing efficiency and memory usage, which mainly benefits from the utilization of the text retrieval technology, such as the bag-of-features (BOF) model and the inverted-file structure. Meanwhile, because the robust local feature invariants are selected to establish BOF, the retrieval precision of BOF is enhanced, especially when it is applied to a large-scale database. However, these local feature invariants mainly consider the geometric variance of the objects in the images, and thus the color information of the objects fails to be made use of. Because of the development of the information technology and Internet, the majority of our retrieval objects is color images. Therefore, retrieval performance can be further improved through proper utilization of the color information. We propose an improved method through analyzing the flaw of shadow-shading quasi-invariant. The response and performance of shadow-shading quasi-invariant for the object edge with the variance of lighting are enhanced. The color descriptors of the invariant regions are extracted and integrated into BOF based on the local feature. The robustness of the algorithm and the improvement of the performance are verified in the final experiments.

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Liu Liu and Jian-Xun Li "Multi-clues image retrieval based on improved color invariants," Optical Engineering 51(5), 057003 (4 May 2012). https://doi.org/10.1117/1.OE.51.5.057003

Published: 4 May 2012

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KEYWORDS

Image retrieval

Light sources and illumination

Feature extraction

Databases

Performance modeling

Lithium

Reflection

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