Orthonormalized color model of object detection

• Autorzy: Borawski M. , Forczmański P.
• Języki publikacji: EN

Abstrakty

EN

The paper presents two methods of creating custom color models aimed at object detection in digital images. Both presented methods are based on Gram-Schmidt orthonormalization procedure and can be applied in many different fields of recognition (human faces, remotely sensed images, etc.). Their main advantage is associated with efficient representation of color variations leading to the simple color-limits definition. In the paper, the authors present the precise mathematical principles together with some practical examples of working algorithm.

Słowa kluczowe

EN

object detection; color model; orthonormalization

PL

wykrywanie obiektu; model barwy

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Computing, Multimedia and Intelligent Techniques
• Rocznik: 2005
• Tom: Vol. 1 nr 1
• Strony: 125--132
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Borawski M.

• Technical University of Szczecin, Faculty of Computer Science and Information Systems, ul. Żołnierska 49, 71-210 Szczecin, Poland

autor

Forczmański P.

• Technical University of Szczecin, Faculty of Computer Science and Information Systems, ul. Żołnierska 49, 71-210 Szczecin, Poland

Bibliografia

• [1] Lathi B.P., Teoria sygnałów i układów telekomunikacyjnych, 1970.
• [2] Earth Sciences and Image Analysis, NASA-Johnson Space Center, The Gateway to Astronaut Photography of Earth, http://eol.jsc.nasa.gov/, 5 Mar. 2004.
• [3] Arbib M.A., Uchiyama T., Color Image Segmentation using Competitive Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence 1994, 16.
• [4] De Dios J., Transformation of the YCgCr Color Space for Face Detection, 5th International Workshop on Image Analysis for Multimedia Interactive Services, Instituto Superior Tecnico, Lisboa, April 21-23, 2004.
• [5] Garcia C., Tziritas G., Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis, IEEE Transactions on Multimedia 1999, 1, 3.
• [6] Yang M., Ahuja N., Detecting Human Faces in Color Images, International Conference on Image Processing (ICIP) 1998, 1.
• [7] Białasiewicz J.T., Falki i aproksymacje, 2003.