Abstract
In this paper we describe the method allowing the identification of products on the shop-racks. This method consists of two steps: morphological preprocessing where the image of the rack is segmented in order to find the split-lines between products; and recognition step where, based on the segmentation results, the feature-point approach is used to identify the products. In the proposed method, thanks to novel preprocessing step, we reduce the search-space to possible locations obtained as results of segmentation.
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Iwanowski, M., Zieliński, B., Sarwas, G., Stygar, S. (2014). Identification of Products on Shop-Racks by Morphological Preprocessing and Feature-Based Detection. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_35
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DOI: https://doi.org/10.1007/978-3-319-11331-9_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11330-2
Online ISBN: 978-3-319-11331-9
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