Abstract: In this article, we present a method to speed up image content similarity search based on the SURF algorithm in large sets of images.
Oct 15, 2018 · In this paper, we propose an image comparing technique that can be used for sorting images in large image databases for the sake of obtaining ...
Fast Two-Level Image Indexing Based on Local Interest Points - IEEE Xplore
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Abstract—In this article, we present a method to speed up image content similarity search based on the SURF algorithm in large sets of images.
Aug 1, 2018 · In this article, we present a method to speed up image content similarity search based on the SURF algorithm in large sets of images.
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ABSTRACT. This paper describes an approach to retrieve images con- taining specific objects, scenes or buildings. The image.
The presented method operates on local interest keypoints, which are generated using the SURF algorithm, and was able to find similar areas in images and ...
Content-based image indexing by data clustering and inverse document frequency ... Fast two-level image indexing based on local interest points. P Najgebauer, R ...
Fast Two-Level Image Indexing Based on Local Interest Points. August 2018 ... The Spiral Architecture has been developed as a fast way of indexing a hexagonal ...
Experiments on digital standard images showed that our improved Canny algorithm was smoother and more continuous for the edges extracted from images with ...