A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Robust Similar Image Retrieval Based on Extracted Object Features
2017
Journal of Signal Processing
In this paper, a robust similar image retrieval method using extracted object features is proposed. A local texture feature as well as global contour and color features are extracted from an object image to generate unified robust feature vectors. To show the effectiveness of our method, experimental noisy image retrieval was executed using standard object image databases. The recall rate, precision rate and F-measure obtained by cross-validation were calculated to evaluate the performance of
doi:10.2299/jsp.21.203
fatcat:ad74t24hdzcy5cwm6swsgcacma