Influence of image compression on segmentation of natural images (CROSBI ID 563819)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gaši, Ana ; Dujmić, Hrvoje ; Turić, Hrvoje ; Papić, Vladan
engleski
Influence of image compression on segmentation of natural images
One of important image processing applications is detection of humans for non-urban Search and Rescue. Authors have previously developed a method which, using mean shift segmentation, searches for objects (humans and artificial objects) in natural images. It is based on assumption that objects have different color comparing to the rest of image. Main problem in using mean shift algorithm is long processing time. In this paper, influence of image compression ratio on mean shift processing time as well as on detection results has been investigated. It is shown that increase in compression ratio results with shorter processing time while detection of objects (Recall and Precision) is not significantly deteriated.
Image segmentation; compression; mean shift; search and rescue; object detection
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Podaci o prilogu
77-82.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 9th WSEAS International Conference on Signal Processing
Niola, V.
Sofija: Europment
978-954-92600-4-5
1790-5117
Podaci o skupu
9th WSEAS International Conference on Signal Processing
predavanje
29.05.2010-31.05.2010
Catania, Italija