Parallel-Sequential Texture Analysis
| Autor: | van den Broek, Egon, Singh, Sameer, Singh, Maneesha, van Rikxoort, Eva M., Apte, Chid, Perner, Petra |
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| Přispěvatelé: | Singh, S., Singh, M., Apté, C., Perner, P., Artificial intelligence, Social AI |
| Rok vydání: | 2005 |
| Předmět: |
Color histogram
Color normalization Computer science EWI-20950 HMI-VRG: Virtual Reality and Graphics VisTex correlogram co-occurrence matrix ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Color Image processing 02 engineering and technology HSL and HSV Color space Pattern Recognition IR-78922 01 natural sciences 010309 optics parallel-sequential Image texture Texture filtering Histogram 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Texture ComputingMethodologies_COMPUTERGRAPHICS business.industry Color image Quantization (signal processing) HMI-MR: MULTIMEDIA RETRIEVAL Color quantization Co-occurrence matrix Computer Science::Computer Vision and Pattern Recognition 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | STARTPAGE=532;ENDPAGE=541;TITLE=None van den Broek, E L & van Rikxoort, E M 2005, Parallel-Sequential Texture Analysis . in S Singh, M Singh, C Apté & P Perner (eds), Pattern Recognition and Image Analysis. Proc. of the Third International Conference on Advances in Pattern Recognition. ICAPR 2005(2) . Lecture Notes in Computer Science, Springer, pp. 532-541 . < http://dx.doi.org/10.1007/11552499_59 > Pattern Recognition and Image Analysis. Proc. of the Third International Conference on Advances in Pattern Recognition. ICAPR 2005(2), 532-541 STARTPAGE=532;ENDPAGE=541;TITLE=Pattern Recognition and Image Analysis. Proc. of the Third International Conference on Advances in Pattern Recognition. ICAPR 2005(2) Pattern Recognition and Image Analysis ISBN: 9783540288336 ICAPR (2) |
| DOI: | 10.1007/11552499_59 |
| Popis: | Color induced texture analysis is explored, using two texture analysis techniques: the co-occurrence matrix and the color correlogram as well as color histograms. Several quantization schemes for six color spaces and the human-based 11 color quantization scheme have been applied. The VisTex texture database was used as test bed. A new color induced texture analysis approach is introduced: the parallel-sequential approach; i.e., the color correlogram combined with the color histogram. This new approach was found to be highly successful (up to 96% correct classification). Moreover, the 11 color quantization scheme performed excellent (94% correct classification) and should, therefore, be incorporated for real-time image analysis. In general, the results emphasize the importance of the use of color for texture analysis and of color as global image feature. Moreover, it illustrates the complementary character of both features. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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