Augmented Reality Based Segmentation of Outdoor Landscape Images (CROSBI ID 599566)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bugarić, Marin ; Braović, Maja ; Stipaničev, Darko
engleski
Augmented Reality Based Segmentation of Outdoor Landscape Images
The segmentation and classification of image regions are very important tasks in the field of computer vision, and yet they remain one of its greatest challenges. These challenges arise from the fact that the same objects can come in different colors, shapes and sizes, and can appear in different contexts and under different illumination. In an attempt to overcome these obstacles, in this paper we propose a system for segmentation and classification of image regions on outdoor landscape images based on augmented reality and CORINE land cover (CLC) classification. We compare the results obtained by the proposed system with the results obtained by the k-NN algorithm, and show that the proposed algorithm outperforms the k-NN one, and generally gives favorable segmentation and classification results.
Image segmentation Image classification Augmented reality Outdoor landscape images
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Podaci o prilogu
43-48.
2013.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of ISPA 2013, 8th International Symposium on Image and Signal Processing and Analysis
Ramponi Giovanni, Lončarić Sven, Carini Alberto, Egiazarian Karen
Trst: University of Zagreb, Croatia & University of Trieste, Italy
978-953-184-187-0
Podaci o skupu
8th International Symposium on Image and Signal Processing and Analysis
predavanje
04.09.2013-06.09.2013
Trst, Italija