Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval
Content-Based Image Retrieval (CBIR) is a scaffold that can prevail over the above revealed crisis as it is based on the visual analysis of contents that are part of the query image. In this book, the features like shape, texture, edge, HSV colour are extracted after applying phone shading in order to flatter out the dull surface of the image, feature extracted values are used to find the similarity between input query image and the db image. It can be measured using Euclidean and quadratic distance formula. The image is ranked according to the minimum distance value. The advantage of CBIR over TBIR (Text-Based Image Retrieval) are among other image retrieval methods, CBIRl is an approach that exclusively relies on the visual features, such as color histogram, texture, shape, and so forth, of the images. One of the obvious advantages of CBIR over other method is that It can be done in a fully automatic process since the visual features are automatically extracted.
yazar | Magdalene Delighta Angeline D |
---|---|
Boyutlar ve boyutlar | 15 x 0.3 x 22 cm |
Tarafından yayınlandı | 25 Mart 2020 |
3 Ocak 2017 Maya Violet 21,6 x 1,9 x 27,9 cm Kolektif Lina Scatia 13 Şubat 2020 20 Kasım 2020 1 x 15 x 21 cm 25 Mart 2020 Prof Philip M. Parker Ph.D. 15 x 0,3 x 22 cm Philip M. Parker Ph.D 21 Ocak 2019 21,6 x 1,7 x 27,9 cm 15,2 x 0,6 x 22,9 cm 21,6 x 2 x 27,9 cm 5 Ocak 2017 Vismont Studios
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Sürüm ayrıntıları
yazar | Magdalene Delighta Angeline D Samuel Peter James I |
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isbn 10 | 6202516461 |
isbn 13 | 978-6202516464 |
Yayımcı | LAP LAMBERT Academic Publishing |
Boyutlar ve boyutlar | 15 x 0.3 x 22 cm |
Tarafından yayınlandı Face exposure using content based image retrieval: Computer Vision Techniques to the Image Retrieval | 25 Mart 2020 |
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