Texture Segmentation Benchmark | IEEE Journals & Magazine | IEEE Xplore

Texture Segmentation Benchmark


Abstract:

The Prague texture segmentation data-generator and benchmark (mosaic.utia.cas.cz) is a web-based service designed to mutually compare and rank (recently nearly 200) diffe...Show More

Abstract:

The Prague texture segmentation data-generator and benchmark (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.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 44, Issue: 9, 01 September 2022)
Page(s): 5647 - 5663
Date of Publication: 27 April 2021

ISSN Information:

PubMed ID: 33905324

Funding Agency:


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