Detecting Automatically and Compression Algorithm for Infrared Image Based on Region of Interest

Author

Hu, Guang ; Xiao, Ming ; Yuan, Zhi

Author_Institution

Sch. of Comput. & Sci. Technol., Yantai Univ., Yantai, China

Volume

1

fYear

2009

fDate

25-27 Dec. 2009

Firstpage

50

Lastpage

53

Abstract

Image compression based on region of interest has been on one of hot issues in the field of image compression and coding. However, there is not a fixed model for region of interest automatic detected. In order to reduce storage spaces and transmission times of infrared target image data, a coding way is proposed for ROI automatic detected of image based on the region growing segmentation algorithm. In order to improve efficiency for transferring image data in real time, a coding-crossed algorithm for ROI automatic detected of infrared target image is studied as same time as it is realized on the frame of JPEG2000. An experimental study is also conducted that is proved the method of detecting automatically and compression algorithm based on region of interest automatic detected is reliable and effective, significant in applications.

Keywords

image coding; image segmentation; infrared imaging; JPEG2000; ROI image detection; automatic image detection; image coding; image compression; infrared image detection; region growing segmentation algorithm; region-of-interest; Compression algorithms; Image coding; Image segmentation; Image storage; Infrared detectors; Infrared image sensors; Infrared imaging; Optical computing; Transform coding; Weapons; Image Compression; JPEG2000; Region of Interest; coding-crossed; region growing segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on

Conference_Location

Chongqing

Print_ISBN

978-0-7695-3930-0

Electronic_ISBN

978-1-4244-5423-5

Type

conf

DOI

10.1109/IFCSTA.2009.19

Filename

5385134