Title :
Entropy Based Image Identifier Generation
Author :
Je-Ho Park ; Changwon Kang
Author_Institution :
Comput. Sci. & Eng., Dankook Univ., Cheonan, South Korea
Abstract :
When an image identifier is generated by using features which are extracted from the global image space and the information used for the identifier generation is not distributed over the overall image space, the generated image identifier might failed to satisfy its objective - identification of image. In this paper, in order to resolve the problem, we discuss an entropy based approach which utilize local region with enough information for identifier generation.
Keywords :
feature extraction; image processing; feature extraction; global image space; image identifier generation; image space; local region; objective identification; Computer science; Entropy; Feature extraction; Image databases; Image segmentation; Object recognition; Three-dimensional displays;
Conference_Titel :
IT Convergence and Security (ICITCS), 2014 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ICITCS.2014.7021766