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Fast Object Extraction and Euler Number on Block Represented Images
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作者 Iraklis M. Spiliotis Alexandros S. Peppas +1 位作者 Nikolaos D. Karampasis Yiannis S. Boutalis 《Journal of Data Analysis and Information Processing》 2022年第2期91-109,共19页
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 i... 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. 展开更多
关键词 Image Block Representation Object Detection Hole Detection Euler Number connected components labeling
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