DocumentCode
3048140
Title
Property of correlation between entropy and focus
Author
Chen, Yu-Kumg ; Yang, Tung-Han ; Ko, Jian-Wei
Author_Institution
Dept. of Electron. Eng., Huafan Univ., Shihding Township, Taiwan
fYear
2010
fDate
20-23 June 2010
Firstpage
2471
Lastpage
2476
Abstract
It makes all the difference whether one recognizes objects through the clear or fuzzy image through a video. That is a so-called garbage in garbage out. In an imaging automatic identification system, in order to recognize the objects in a frame of a video correctly, it is very important to extract the clearest frame from the video. Based on observing the distribution of histogram for each frame from a section of video with the same scene, we find that the distribution range of histogram is wider if the frame is clear, otherwise, the distribution range of histogram is narrower when the frame is fuzzy. On the other hand, clear image contains higher entropy and fuzzy image contains lower entropy. According to this fact, the relationship between entropy and the clarity of an image is proposed in this paper. By using this property, the clearest image is extracted from a section of video with the same scene automatically. Experiments are carried out for some samples with scenes of different distance to demonstrate the correctness of the proposed property.
Keywords
feature extraction; fuzzy set theory; video signal processing; frame extraction; fuzzy image; histogram distribution range; image extraction; imaging automatic identification system; Character recognition; Entropy; Focusing; Histograms; Image analysis; Image recognition; Layout; Licenses; Optical character recognition software; Surveillance; entropy; image processing; pattern recognition; surveillance system; video;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-5701-4
Type
conf
DOI
10.1109/ICINFA.2010.5512271
Filename
5512271
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