DocumentCode :
2306293
Title :
Substance based automatic image construction from unordered subjective pieces of digital image
Author :
Ahmmed, Jafrin ; Polash, P.P. ; Ahmed, Shamim
Author_Institution :
Rajshahi Univ., Rajshahi
fYear :
2007
fDate :
27-29 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we have presented substance or content based image construction from unordered subjective pieces of digital image. Sometime it is necessary to build a complete image from unordered pieces of image to build the complete image. In this developed technique four vector images has been taken from each of the input image to generate training set which in turn will be able to build the expected image. Input vector images have been trained and classified by eigenface method. After classifying the input vector image an efficient algorithm is developed to build the target image.
Keywords :
image processing; principal component analysis; automatic image construction; content based image construction; digital image; eigenface method; input vector images; unordered subjective pieces; Assembly systems; Covariance matrix; Digital images; Eigenvalues and eigenfunctions; Image databases; Image generation; Image resolution; Image retrieval; Pattern recognition; Principal component analysis; Cosine Distance; Eigenface; Images; Principal Component; Vector Images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and information technology, 2007. iccit 2007. 10th international conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-1550-2
Electronic_ISBN :
978-1-4244-1551-9
Type :
conf
DOI :
10.1109/ICCITECHN.2007.4579355
Filename :
4579355
Link To Document :
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