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Image classification using vector Quantization &Neural Networks | ||
| journal of the college of basic education | ||
| Article 1, Volume 15, Issue 64, 2010, Pages 155-166 | ||
| Author | ||
| Enas Mohammed Hussein | ||
| Abstract | ||
| Image processing science reached today a very special standing. It is one of the modern and important applications in many fields. The research aims to design and build algorithms for image classification using Vector Quantization technique (VQ) and Neural Network (N.N).In the first stage of this work the data are collected from (30) different images. It is required that these images to be segmented into matrix of (8×8) dimension. These segments will be used collectively in the generation of reference sets for the purpose of classification. It is required next to obtain a codebook of size (2) using VQ algorithm. These two codeword are used in the clustering of the database. As a result a (20) reference segments are obtain. These references were numbered as 1 up to 20 for the purpose of labeling. Next, the classification has been achieved by two methods, once the labeling of the reference set and next on the neural network. In the testing, 5 images are tested by the proposed system. An overall accuracy of 75% was achieved correctly for neural network methods. | ||
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