Texture Segmentation Benchmark

0545221 - ÚTIA 2023 RIV US eng J - Článek v odborném periodiku
Mikeš, Stanislav - Haindl, Michal
Texture Segmentation Benchmark.
IEEE Transactions on Pattern Analysis and Machine Intelligence. Roč. 44, č. 9 (2022), s. 5647-5663. ISSN 0162-8828. E-ISSN 1939-3539
Grant CEP: GA ČR(CZ) GA19-12340S
Institucionální podpora: RVO:67985556
Klíčová slova: Benchmark * Image segmentation * Texture segmentation * (Un)supervised segmentation * Segmentation criteria * Scale, rotation and illumination invariants
Obor OECD: Robotics and automatic control
Impakt faktor: 23.6, rok: 2022
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2021/RO/haindl-0545221.pdf https://ieeexplore.ieee.org/document/9416785

The Prague texture segmentation data-generator and benchmark (\href{https://mosaic.utia.cas.cz}{mosaic.utia.cas.cz}) is a web-based service designed to mutually compare and rank (recently nearly 200) different static and dynamic texture and image segmenters, to find optimal parametrization of a segmenter and support the development of new segmentation and classification methods. The benchmark verifies segmenter performance characteristics on potentially unlimited monospectral, multispectral, satellite, and bidirectional texture function (BTF) data using an extensive set of over forty prevalent criteria. It also enables us to test for noise robustness and scale, rotation, or illumination invariance. It can be used in other applications, such as feature selection, image compression, query by pictorial example, etc. The benchmark's functionalities are demonstrated in evaluating several examples of leading previously published unsupervised and supervised image segmentation algorithms. However, they are used to illustrate the benchmark functionality and not review the recent image segmentation state-of-the-art.
Trvalý link: http://hdl.handle.net/11104/0322145