Content Based Image Retrieval Using Support Vector Machine (SVM)

Name: Content Based Image Retrieval Using Support Vector Machine (SVM)
Brand: LAP Lambert Academic Publishing
SKU: 131916249
Price: 39.90 EUR
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(Sprache: Englisch)

Autoren: Aniruddha Shelotkar , Dattakrushna Metange

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Content Based Image Retrieval (CBIR) is a developing trend in Digital Image Processing for searching and retrieving the query image from wide range of databases. Conventional content-based image retrieval (CBIR) schemes have following limitations: 1. It is slow 2. difficult to label negative examples; 3. Accuracy is poor in a single step; we propose a new two- step strategy in which first step is feature extraction using low level features (colour, shape and texture) while SVM classifier is used in the second step to handle the noisy positive examples. Thus, an efficient image retrieval algorithm based on color-correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction.

Autoren-Porträt von Aniruddha Shelotkar, Dattakrushna Metange

Shelotkar, Aniruddha
Dr. Aniruddha Shelotkar is working as Head in the Department of Electronics and Telecommunication Engineering at Jagadambha College of Engineering and Technology, Yavatmal, Maharashtra

Bibliographische Angaben

Autoren: Aniruddha Shelotkar , Dattakrushna Metange
2019, 68 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
Verlag: LAP Lambert Academic Publishing
ISBN-10: 6200094055
ISBN-13: 9786200094056

Sprache:

Englisch

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