DocumentCode :
1982763
Title :
Research on Case Representation Method Based on Image Information
Author :
Li Hongru ; He Xiaochen ; Zhao Yubin
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
1
fYear :
2013
fDate :
28-29 Oct. 2013
Firstpage :
128
Lastpage :
131
Abstract :
According to the fact that it´s more likely to consider the image as the field of knowledge, and the image has the features of intuitivism, ample content, no language limited and convenient for communicating internationally, this article use the case-based reasoning method to decrease the difficulty of obtaining the knowledge, and then propose the case representation method based on image information. We have studied the RGB color model and HSV color model, and then discuss the conversion formula between them. What´s more, we have studied the method of extracting the image color characteristics as image case attributes´ description, make a model of image case, and then make a case representation on the forest fire early warning image.
Keywords :
case-based reasoning; feature extraction; fires; image colour analysis; image representation; CBR conversion formula; HSV color model; RGB color model; case representation method; case-based reasoning method; forest fire early warning image; image case attribute description; image color characteristic extraction; image information; Cognition; Color; Computational modeling; Feature extraction; Fires; Histograms; Image color analysis; CBR; Case Representation; Image Information; Image Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ISCID.2013.39
Filename :
6804803
Link To Document :
بازگشت