Quantitative evaluation of color image segmentation results

DOI10.1016/S0167-8655(98)00052-XzbMath0908.68204WikidataQ127488357 ScholiaQ127488357MaRDI QIDQ4217039

Paola Campadelli, M. Borsotti, Raimondo Schettini

Publication date: 3 November 1998

Published in: Pattern Recognition Letters (Search for Journal in Brave)

zbMATH Keywords

color image segmentation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (8)

A clustering fuzzy approach for image segmentation ⋮ Incremental multi-class semi-supervised clustering regularized by Kalman filtering ⋮ Color image segmentation using histogram thresholding -- fuzzy C-means hybrid approach ⋮ An adaptive unsupervised approach toward pixel clustering and color image segmentation ⋮ Pyramid segmentation algorithms revisited ⋮ Efficient grey-level image segmentation using an optimised MUSIG (OptiMUSIG) activation function ⋮ Finding a small number of regions in an image using low-level features ⋮ Attribute Operators for Color Images: Image Segmentation Improved by the Use of Unsupervised Segmentation Evaluation Methods

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