DocumentCode :
1500589
Title :
Color image processing by using binary quaternion-moment-preserving thresholding technique
Author :
Pei, Soo-Chang ; Cheng, Ching-Min
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
8
Issue :
5
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
614
Lastpage :
628
Abstract :
This paper presents a new moment-preserving thresholding technique, called the binary quaternion-moment-preserving (BQMP) thresholding, for color image data. Based on representing color data by the quaternions, the statistical parameters of color data can be expressed through the definition of quaternion moments. Analytical formulas of the BQMP thresholding can thus be determined by using the algebra of the quaternions. The computation time for the BQMP thresholding is of order of the data size. By using the BQMP thresholding, quaternion-moment-based operators are designed for the application of color image processing, such as color image compression, multiclass clustering of color data, and subpixel color edge detection. The experimental results show that the proposed operator for color image compression can have output picture quality acceptable to human eyes. In addition, the proposed edge operator can detect the color edge at the subpixel level. Therefore, the proposed BQMP thresholding can be used as a tool for color image processing
Keywords :
data compression; edge detection; image coding; image colour analysis; image representation; pattern clustering; statistical analysis; BQMP thresholding; binary quaternion-moment-preserving thresholding technique; color image compression; color image processing; computation time; data size; edge operator; multiclass clustering; output picture quality; statistical parameters; subpixel color edge detection; Algebra; Color; Eyes; Humans; Image coding; Image edge detection; Image processing; Multidimensional systems; Quaternions; Transform coding;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.760310
Filename :
760310
Link To Document :
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