Title :
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
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;
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
DOI :
10.1109/IFCSTA.2009.19
