Texture Segmentation Benchmark

被引:12
作者
Mikes, Stanislav [1 ]
Haindl, Michal [1 ]
机构
[1] Czech Acad Sci, Inst Informat Theory & Automat, Prague 11720, Czech Republic
关键词
Image segmentation; Benchmark testing; Heuristic algorithms; Image color analysis; Satellites; Lighting; Time measurement; Benchmark; image segmentation; texture segmentation; (Un)supervised segmentation; segmentation criteria; scale; rotation and illumination invariants; COLOR IMAGE SEGMENTATION; UNSUPERVISED SEGMENTATION; MODEL;
D O I
10.1109/TPAMI.2021.3075916
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:5647 / 5663
页数:17
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