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Final Year Project | IEEE Projects - Baby talk: understanding and generating simple image description

Brand:Image Atlas
Product Code:PROJ1089
Availability:In Stock
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  • 4,500.00INR


                    Here we propose the method to understanding and analyzing about the image. Initially in preprocessing stage the noise are filtered from the image. It is done by the Gaussian filter. Then we extract the GLCM feature and LBP feature. The Gray Level Co-occurrence Matrix (GLCM) is image analysis techniques. In the GLCMs, (Gray Level co-occurrence Matrix) several statistics information are derived using the different formulas. GLCM will extract the information about an image such entropy, correlation, etc. These statistics provide information about the texture of an image. For shape information, we extract the Gabor feature. For color information, we extract the color coherence vector. The feature values are provided to the Support vector machine. The classifier will predict about the result of image. 

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