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Pregled bibliografske jedinice broj: 394392

Časopis

Autori: Krstinić, Damir; Stipaničev, Darko; Jakovčević, Toni
Naslov: Histogram-Based Smoke Segmentation in Forest Fire Detection System
Izvornik: Information Technology and Control (1392-124X) 38 (2009), 3; 237-244
Vrsta rada: članak
Ključne riječi: smoke detection; image segmentation; histogram-based segmentation; colorspace evaluation; classifi er design; Bayes classifi er
Sažetak:
A focus of this paper is a pixel level analysis and segmentation of smoke colored pixels for the automated forest fi re detection. Variations in the smoke color tones, environmental illumination, atmospheric conditions and low quality of the images of wide outdoor area make smoke detection a complex task. In order to fi nd an effi cient combination of a color space and pixel level smoke segmentation algorithm, several color space transformations are evaluated by measuring separability between smoke and non-smoke classes of pixels. However, exhaustive evaluation of the histogram-based smoke segmentation algorithms in different color spaces suggests that the peak performance is the distinctive feature of the algorithm itself rather than the algorithm-color space combination.
Projekt / tema: 023-0232005-2003, 023-0372783-1289
Izvorni jezik: ENG
Current Contents: NE
Citation Index: DA
Ostale indexne publikacije: INSPEC;SCI Expanded, Journal Citation Reports/Science Edition, VINITI
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Tiskani medij: da
URL Internet adrese: http://itc.ktu.lt/itc383/Krstinic383.pdf
Google Scholar: Histogram-Based Smoke Segmentation in Forest Fire Detection System
Upisao u CROSBI: dstip@fesb.hr (dstip@fesb.hr), 27. Svi. 2009. u 12:49 sati



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