Content-based Image Retrieval using Texture and Color Features
The emergence of multimedia technology and the rapidly expanding image collections on the Internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data. Content-based image retrieval has been an active area of research over last decade...
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| Format: | Article |
| Language: | English |
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University of Thi-Qar
2019-06-01
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| Series: | مجلة علوم ذي قار |
| Subjects: | |
| Online Access: | https://jsci.utq.edu.iq/index.php/main/article/view/531 |
| _version_ | 1797628648867495936 |
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| author | Abbas Hanon AL-Asadi |
| author_facet | Abbas Hanon AL-Asadi |
| author_sort | Abbas Hanon AL-Asadi |
| collection | DOAJ |
| description |
The emergence of multimedia technology and the rapidly expanding image collections on the
Internet have attracted significant research efforts in providing tools for effective retrieval and
management of visual data. Content-based image retrieval has been an active area of research over last
decade. In this paper, a content-based image retrieval system is presented. It supports querying by example to
retrieve images from the images database according to their texture and color features. For feature extractions,
Gray-Level Co-occurrence Matrix (GLCM) and color histogram of HSV have been used. The results appeared
quite satisfactory.
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| first_indexed | 2024-03-11T10:42:54Z |
| format | Article |
| id | doaj.art-74d3c36029374311bf51b8dd1c748804 |
| institution | Directory Open Access Journal |
| issn | 1991-8690 2709-0256 |
| language | English |
| last_indexed | 2024-03-11T10:42:54Z |
| publishDate | 2019-06-01 |
| publisher | University of Thi-Qar |
| record_format | Article |
| series | مجلة علوم ذي قار |
| spelling | doaj.art-74d3c36029374311bf51b8dd1c7488042023-11-14T08:07:37ZengUniversity of Thi-Qarمجلة علوم ذي قار1991-86902709-02562019-06-0134Content-based Image Retrieval using Texture and Color FeaturesAbbas Hanon AL-Asadi0Computer Science Department - Science College - Basrah University - Basrah, Iraq The emergence of multimedia technology and the rapidly expanding image collections on the Internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data. Content-based image retrieval has been an active area of research over last decade. In this paper, a content-based image retrieval system is presented. It supports querying by example to retrieve images from the images database according to their texture and color features. For feature extractions, Gray-Level Co-occurrence Matrix (GLCM) and color histogram of HSV have been used. The results appeared quite satisfactory. https://jsci.utq.edu.iq/index.php/main/article/view/531Content based image retrieval, visual information , feature extraction |
| spellingShingle | Abbas Hanon AL-Asadi Content-based Image Retrieval using Texture and Color Features مجلة علوم ذي قار Content based image retrieval, visual information , feature extraction |
| title | Content-based Image Retrieval using Texture and Color Features |
| title_full | Content-based Image Retrieval using Texture and Color Features |
| title_fullStr | Content-based Image Retrieval using Texture and Color Features |
| title_full_unstemmed | Content-based Image Retrieval using Texture and Color Features |
| title_short | Content-based Image Retrieval using Texture and Color Features |
| title_sort | content based image retrieval using texture and color features |
| topic | Content based image retrieval, visual information , feature extraction |
| url | https://jsci.utq.edu.iq/index.php/main/article/view/531 |
| work_keys_str_mv | AT abbashanonalasadi contentbasedimageretrievalusingtextureandcolorfeatures |