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