id: 35176
Title: Development of object detection algorithm in halftone images
Authors: Voznyak O., Polievoda Y., Kupchuk I., Trukhanska O., Shvets L., Zamrii M.
Keywords: classification ability, light conditions, local binary patterns, simple classifier, clustering and verification.
Date of publication: 2024-01-16 12:01:24
Last changes: 2024-01-16 12:01:24
Year of publication: 2023
Summary: This paper researches the detection method in halftone images using AdaBoost algorithm for training a object detector. Modified Haarlike features are used as features in weak classifiers. The method has been tested on The Yale B Face Database where images are obtained under 65 different illumination conditions. Experimental research on face detection method was carried out using the Matlab environment.
URI: http://81.30.162.23/repository/getfile.php/35176.pdf
Publication type: Статті Scopus/Web of Science
Publication: Przeglad Elektrotechniczny. 2023. Vol. 99, № 11. P. 192-195. DOI:10.15199/48.2023.11.33
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Published by: Адміністратор
File : 35176.pdf Size : 633961 byte Format : Adobe PDF Access : For all
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