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Cabaret, L., Lacassagne, L. and Etiemble, D. (2018) Parallel Light Speed Labeling: An Efficient Connected Component Algorithm for Labeling and Analysis on Multi-Core Processors. Journal of Real-Time Image Processing, 15, 173-196.
https://doi.org/10.1007/s11554-016-0574-2

has been cited by the following article:

• TITLE: Fast Object Extraction and Euler Number on Block Represented Images

  AUTHORS: Iraklis M. Spiliotis, Alexandros S. Peppas, Nikolaos D. Karampasis, Yiannis S. Boutalis

  KEYWORDS: Image Block Representation, Object Detection, Hole Detection, Euler Number, Connected Components Labeling

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.10 No.2, March 31, 2022

  ABSTRACT: The identification of objects in binary images is a fundamental task in image analysis and pattern recognition tasks. The Euler number of a binary image is an important topological measure which is used as a feature in image analysis. In this paper, a very fast algorithm for the detection and localization of the objects and the computation of the Euler number of a binary image is proposed. The proposed algorithm operates in one scan of the image and is based on the Image Block Representation (IBR) scheme. The proposed algorithm is more efficient than conventional pixel based algorithms in terms of execution speed and representation of the extracted information.