Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional Autónoma de México
2013
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| _version_ | 1876443199198724096 |
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| author | Mussarat Yasmin |
| author_facet | Mussarat Yasmin |
| contents | Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms Mussarat Yasmin Muhammad Sharif Isma Irum Sajjad Mohsin Ingeniería image search image matching shape features shape descriptor Feature extraction By gaining the place of active and important research area, Content based image retrieval has been proposed in a number of different ways after its inception. In the proposed method, a new angle orientation histogram has been introduced named as Angle Edge Histogram. By applying Pythagorean theory to image, very useful characteristics have been obtained for image matching, search and retrieval. Proposed method has also been compared with existing methods and the results show that it outperforms the existing methods in values of precision and recall and balance of precision and recall. Proposed method receives an average of 94% of precision and 79% of recall rates. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47429697012 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.11 |
| format | Artículo científico |
| id | redalyc_47429697012 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms Mussarat Yasmin Ingeniería image search image matching shape features shape descriptor Feature extraction Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms Mussarat Yasmin Muhammad Sharif Isma Irum Sajjad Mohsin Ingeniería image search image matching shape features shape descriptor Feature extraction By gaining the place of active and important research area, Content based image retrieval has been proposed in a number of different ways after its inception. In the proposed method, a new angle orientation histogram has been introduced named as Angle Edge Histogram. By applying Pythagorean theory to image, very useful characteristics have been obtained for image matching, search and retrieval. Proposed method has also been compared with existing methods and the results show that it outperforms the existing methods in values of precision and recall and balance of precision and recall. Proposed method receives an average of 94% of precision and 79% of recall rates. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47429697012 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.11 |
| title | Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms |
| topic | Ingeniería image search image matching shape features shape descriptor Feature extraction |
| url | https://www.redalyc.org/articulo.oa?id=47429697012 |