Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (2): 438-442.doi: 10.3969/j.issn.1001-506X.2011.02.41
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ZHAO Wen-zhe, QIN Shi-yin
Online:
Published:
Abstract:
The color scaleinvariant feature transform (color SIFT) based feature extraction method is proposed, and the related invariance properties in translation, rotation, zooming, and color shifting are analyzed. Further, image classification strategy and algorithms based on this feature are studied. To test the proposed classification and recognition algorithms, 50 objects categories randomly chosen from the Amsterdam library of object images (ALOI) are employed for recognition, and results show that the correct rate of recognition is 100%. Both theoretical and experimental results validate that the color SIFT feature has a good performance in chromatic image classification and recognition.
CLC Number:
TP 391.41
ZHAO Wen-zhe, QIN Shi-yin. Chromatic image classification and recognition based on interest point features[J]. Journal of Systems Engineering and Electronics, 2011, 33(2): 438-442.
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