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In CBIR (Content-Based Image Retrieval), visual features such as shape, color and texture are extracted to characterize images and are represented using one ...
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This work has proposed a method of classifying the image database containing four categories of images like human face, airplane, cup and butterfly by ...
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In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and buildsderived values ...
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Abstract—In CBIR (Content-Based Image Retrieval), visual features such as shape, color and texture are extracted to characterize images.
It was observed that the most unique features that can be extracted when using GLDS features on images are contrast, homogeneity, entropy, mean and energy.
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Mar 31, 2018 · In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and builds ...
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Several feature-extraction techniques viz., Average RGB, Color Moments, Co-occurrence, Local Color Histogram, Global Color Histogram and Geometric Moment ...
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The theory and motivation of different common methods of feature selection and extraction and some of their applications are reviewed and some numerical ...
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