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Content-based image retrieval uses features at a low or pixel image level for such color, texture and shape. And on the basis of this feature get the right photos from storage media. But here the key problem for the researcher is to find the most relevant image from the database first or for a small amount of search iteration. In the short term the HSV color histogram is an excellent feature of the image and has been used in various investigative programs. In this article, the HSV Color histogram is based on an image to extract a color element and measure the value of the histogram by 72 different barrels. The stitching element is removed using a discrete wavelet transform that helps to remove the intricate pattern pattern present in the image. The definition of a histogram feature is used to determine the location and geometric details of an image by subtracting the edges present in the image and combining these elements into a single element vector so that it can properly enlarge the image. In the process of classifying the vector classifier machine is used to classify images into different categories accordingly.
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Design and analysis of an efficient image retrieval technique
Verlag:
LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203861936
ISBN 13: 9786203861938
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Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Content-based image retrieval uses features at a low or pixel image level for such color, texture and shape. And on the basis of this feature get the right photos from storage media. But here the key problem for the researcher is to find the most relevant image from the database first or for a small amount of search iteration. In the short term the HSV color histogram is an excellent feature of the image and has been used in various investigative programs. In this article, the HSV Color histogram is based on an image to extract a color element and measure the value of the histogram by 72 different barrels. The stitching element is removed using a discrete wavelet transform that helps to remove the intricate pattern pattern present in the image. The definition of a histogram feature is used to determine the location and geometric details of an image by subtracting the edges present in the image and combining these elements into a single element vector so that it can properly enlarge the image. In the process of classifying the vector classifier machine is used to classify images into different categories accordingly. 92 pp. Englisch. Bestandsnummer des Verkäufers 9786203861938
Anzahl: 2 verfügbar
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Design and analysis of an efficient image retrieval technique
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203861936
ISBN 13: 9786203861938
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ansari Mohd. AquibMohd. Aquib Ansari has completed his B.E. from SATI Vidisha in Information Technology (2014). He has done his M.Tech. from MITS Gwalior in Information Technology (2017). He is currently pursuing his Ph.D. from MNNIT. Bestandsnummer des Verkäufers 490749334
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Design and analysis of an efficient image retrieval technique
Verlag:
LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203861936
ISBN 13: 9786203861938
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Content-based image retrieval uses features at a low or pixel image level for such color, texture and shape. And on the basis of this feature get the right photos from storage media. But here the key problem for the researcher is to find the most relevant image from the database first or for a small amount of search iteration. In the short term the HSV color histogram is an excellent feature of the image and has been used in various investigative programs. In this article, the HSV Color histogram is based on an image to extract a color element and measure the value of the histogram by 72 different barrels. The stitching element is removed using a discrete wavelet transform that helps to remove the intricate pattern pattern present in the image. The definition of a histogram feature is used to determine the location and geometric details of an image by subtracting the edges present in the image and combining these elements into a single element vector so that it can properly enlarge the image. In the process of classifying the vector classifier machine is used to classify images into different categories accordingly.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Bestandsnummer des Verkäufers 9786203861938
Anzahl: 2 verfügbar
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Design and analysis of an efficient image retrieval technique
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203861936
ISBN 13: 9786203861938
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Content-based image retrieval uses features at a low or pixel image level for such color, texture and shape. And on the basis of this feature get the right photos from storage media. But here the key problem for the researcher is to find the most relevant image from the database first or for a small amount of search iteration. In the short term the HSV color histogram is an excellent feature of the image and has been used in various investigative programs. In this article, the HSV Color histogram is based on an image to extract a color element and measure the value of the histogram by 72 different barrels. The stitching element is removed using a discrete wavelet transform that helps to remove the intricate pattern pattern present in the image. The definition of a histogram feature is used to determine the location and geometric details of an image by subtracting the edges present in the image and combining these elements into a single element vector so that it can properly enlarge the image. In the process of classifying the vector classifier machine is used to classify images into different categories accordingly. Bestandsnummer des Verkäufers 9786203861938
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