Title :
Extracting color features and dynamic matching for image database retrieval
Author :
Pei, Soo-Chang ; Cheng, Ching-Min
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
4/1/1999 12:00:00 AM
Abstract :
Color-based indexing is an important tool in image database retrieval. Compared with other features of the image, color features are less sensitive to noise and background complication. Based on the human visual system´s perception of color information, this paper presents a dependent scalar quantization approach to extract the characteristic colors of an image as color features. The characteristic colors are suitably arranged in order to obtain a sequence of feature vectors. Using this sequence of feature vectors, a dynamic matching method is then employed to match the query image with database images for a nonstationary identification environment. The empirical results show that the characteristic colors are reliable color features for image database retrieval. In addition, the proposed matching method has acceptable accuracy of image retrieval compared with existing methods
Keywords :
feature extraction; image colour analysis; image matching; visual databases; background complication; color information; color-based indexing; dynamic matching; extracting color features; feature vectors sequence; human visual system´s perception; image database retrieval; image retrieval; noise; nonstationary identification environment; query image; scalar quantization approach; Background noise; Colored noise; Data mining; Feature extraction; Humans; Image databases; Image retrieval; Indexing; Information retrieval; Visual system;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on