<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image features. We developed a new algorithm for finding objects in images by traversing their edges. Moreover, we describe the objects by histograms of local features and angles. We use such a description to retrieve similar images fast. We performed extensive experiments on three established image datasets proving the effectiveness of the proposed method.</p></abstract>

Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image features. We developed a new algorithm for finding objects in images by traversing their edges. Moreover, we describe the objects by histograms of local features and angles. We use such a description to retrieve similar images fast. We performed extensive experiments on three established image datasets proving the effectiveness of the proposed method.

Detecting Visual Objects by Edge Crawling

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Detecting Visual Objects by Edge Crawling"}

Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image...

Detecting Visual Objects by Edge Crawling

Online veröffentlicht: 23. Mai 2020

Seitenbereich: 223 - 237

Eingereicht: 17. Juli 2019

Akzeptiert: 11. Feb. 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0015

Schlüsselwörter
content-based image retrieval, crawler, edge detection, image descriptor, object extraction

© 2020 Rafał Grycuk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Detecting Visual Objects by Edge Crawling

Online veröffentlicht: 23. Mai 2020

Seitenbereich: 223 - 237

Eingereicht: 17. Juli 2019

Akzeptiert: 11. Feb. 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0015

Schlüsselwörtercontent-based image retrieval, crawler, edge detection, image descriptor, object extraction

© 2020 Rafał Grycuk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
content-based image retrieval, crawler, edge detection, image descriptor, object extraction