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Image classification using hybrid method

Ielaf O. abdl-majjed al dahl · University of Mosul, College of Education for Pure Science · 2012

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Author / responsible party
Ielaf O. abdl-majjed al dahl
Publisher
University of Mosul, College of Education for Pure Science
Year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English
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Abstract <br /> This paper find a method depending on combining both classic and artificial methods to classify (recognition) an image.k-means method is used to find the main characteristics of the images. Then these images are classified using Hamming and Maxnet Artificial Neural Networks (ANNs). The proposed method is compared with the artificial one only. Three parameters are used for this comparison, number of iteration, second Peak Signal to Noise Ratio (PSNR) and third correlation. The results reveal that the used method is better than artificial method. correlation for proposed method is equal (0.5360), while it is (0.4610) for artificial method applying the same input JPEG image. This software is applied on JPEG and BMP gray images type. MATLAB 7.6.0 is utilized for the implementation of this software.

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APA 7

dahl, I. O. A. M. A. (2012). Image classification using hybrid method. https://doi.org/10.33899/edusj.2012.59160

MLA

dahl, Ielaf O. abdl-majjed al. "Image classification using hybrid method." 2012. https://doi.org/10.33899/edusj.2012.59160.

Chicago

dahl, Ielaf O. abdl-majjed al. 2012. "Image classification using hybrid method.". https://doi.org/10.33899/edusj.2012.59160.

Harvard

dahl, I. O. A. M. A. 2012, Image classification using hybrid method, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59160 [Accessed 7 Aug. 2026].

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Title
Image classification using hybrid method
Author / contributors
Ielaf O. abdl-majjed al dahl
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

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image classification; hybrid method; noise ratio (psnr)
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