DocumentCode :
3235576
Title :
Image segmentation in the JPEG2000 domain
Author :
Hsin, Hsi-Chin ; Sung, Tze-Yun
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. United Univ., Miaoli, Taiwan
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
24
Lastpage :
28
Abstract :
This paper presents a simple method to segment JPEG2000 images based on the features extracted from the MQ table such that the burden of decompressing computations can be avoided. The feature vectors are segmented by using the modified CTM algorithm. In which, a rate-distortion based scheme is proposed to determine the parameter ε of CTM in an adaptive manner. Experimental results show that the modified CTM algorithm with the MQ table based features is suitable for JPEG2000 image segmentation. In addition, the segmentation results even at low-middle bpp rates are satisfactory, which is advantageous to the communication applications.
Keywords :
data compression; image coding; image segmentation; image texture; CTM algorithm; JPEG2000 domain; JPEG2000 images; compression-based texture merging algorithm; features extraction; image segmentation; rate-distortion based scheme; Encoding; Feature extraction; Image coding; Image segmentation; Pattern recognition; Rate-distortion; Transform coding; CTM; JPEG2000; MQ table; image segmentation; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2158-5695
Print_ISBN :
978-1-4577-0283-9
Type :
conf
DOI :
10.1109/ICWAPR.2011.6014466
Filename :
6014466
Link To Document :
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