SVM Based Forest Fire Detection Using Static and Dynamic Features
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Ivanova, Krassimira, Stanchev, Peter, Dimitrov, Boyan (2008)
Serdica Journal of Computing
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In this paper we study some of the characteristics of the art painting image color semantics. We analyze the color features of differ- ent artists and art movements. The analysis includes exploration of hue, saturation and luminance. We also use quartile’s analysis to obtain the dis- tribution of the dispersion of defined groups of paintings and measure the degree of purity for these groups. A special software system “Art Paint- ing Image Color Semantics” (APICSS) for image analysis...
Tsai, Meng-Hsiun, Chan, Yung-Kuan, Wang, Jiun-Shiang, Guo, Shu-Wei, Wu, Jiunn-Lin (2009)
Mathematical Problems in Engineering
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Eugenia Stoimenova, Plamen Mateev, Milena Dobreva (2006)
Review of the National Center for Digitization
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Jiří Jan, Radim Kolář, Libor Kubečka, Jan Odstrčilík, Jiří Gazárek (2011)
Kybernetika
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The paper presents an overview of image analysis activities of the Brno DAR group in the medical application area of retinal imaging. Particularly, illumination correction and SNR enhancement by registered averaging as preprocessing steps are briefly described; further mono- and multimodal registration methods developed for specific types of ophthalmological images, and methods for segmentation of optical disc, retinal vessel tree and autofluorescence areas are presented. Finally, the...
Maja Jovanović, Aleksandar Perović, Nenad Andonovski, Aleksandar Jovanović (2007)
Review of the National Center for Digitization
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Mariusz Frąckiewicz, Henryk Palus (2011)
International Journal of Applied Mathematics and Computer Science
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In this paper, the idea of applying the k-harmonic means (KHM) technique in biomedical colour image segmentation is presented. The k-means (KM) technique establishes a background for the comparison of clustering techniques. Two original initialization methods for both clustering techniques and two evaluation functions are described. The proposed method of colour image segmentation is completed by a postprocessing procedure. Experimental tests realized on real endoscopic colour images...
Włodzimierz Kasprzak, Artur Wilkowski, Karol Czapnik (2012)
International Journal of Applied Mathematics and Computer Science
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A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose sequences in terms of gestures (i.e., "words"). The hand object is detected with a double-active contour-based method. A tracking of the hand pose in a short sequence allows detecting "modified poses", like diacritic letters in national alphabets. The static hand pose set corresponds to hand signs of a thumb alphabet. Finally, by tracking...
Anna Fabijańska, Tomasz Węgliński, Krzysztof Zakrzewski, Emilia Nowosławska (2014)
International Journal of Applied Mathematics and Computer Science
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Robert Bączyk, Andrzej Kasiński (2010)
International Journal of Applied Mathematics and Computer Science
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Visual simultaneous localisation and map-building systems which take advantage of some landmarks other than point-wise environment features are not frequently reported. In the following paper the method of using the operational map of robot surrounding, which is complemented with visible structured passive landmarks, is described. These landmarks are used to improve self-localisation accuracy of the robot camera and to reduce the size of the Kalman-filter state-vector with respect to...