Automatic region-of-interest coding in JPEG2000 based on morphology segmentation and LLn subband analysis

被引：0
|
作者：
Wang, Fei [1 ]
Zheng, Nanning [1 ]
Liu, Yuehu [1 ]
机构：
[1] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES | 2007年 / 2卷
关键词：
ROI coding; JPEG2000; morphology segmentation; subband analysis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel method is proposed for automatic region-of-interest (ROI) extraction in JPEG2000 coding by using morphology segmentation and analyzing the content of LLn subband image. During the JPEG2000 encoding procedure, morphologic filter group is implemented on the wavelet LLn subband image and the watershed algorithm is applied to divide it into many closed regions rapidly following the discrete wavelet transform. Afterward, certain local texture features of regions are extracted to merge the little regions and then the regions location features are employed to determine the ROI of the LLn image and figure out the LLn ROI template. Finally the entire ROI template of wavelet image is formed by the LLn ROI template according to the discrete wavelet transform (DWT) structure and the coordinate mapping principle. This method realizes the automatic JPEG2000 ROI coding based on the content of image. The experiment results have proven its feasibility and validity.
引用
收藏
页码：964 / +
页数：3
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