DIGITAL IMAGE CLASSIFICATION BY INTEGRAL-IMAGE FEATURE EXTRACTION
Publish Year: 1397
Type: Conference paper
Language: English
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ICBVPA01_056
Index date: 26 November 2018
DIGITAL IMAGE CLASSIFICATION BY INTEGRAL-IMAGE FEATURE EXTRACTION abstract
In the paper, we Introduce a new method for Image Classifi-cation. Suggested method uses the Integral-Image for Extracting featurevectors. We use the feed-forward backpropagation neural network andtraining this network by 50% data. This trained network , correctly clas-sifed more than 62.75% of the 800 images. And when we use the 100%datas for training, we obtain Excellent result. in this case, trained network,correctly classi ed 100% of the 800 images.
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