IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM
Throughout the past few years, several researchers have introduced various methods and various algorithms for a precise and dependable sketch-based image retrieval system. In this paper, a proposed sketch-based image retrieval system is introduced. The framework goes over two phases: creating the sk...
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| Format: | Article |
| Language: | English |
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University of Anbar
2019-12-01
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| Series: | مجلة جامعة الانبار للعلوم الصرفة |
| Subjects: | |
| Online Access: | https://juaps.uoanbar.edu.iq/article_172129_caedae3cd465de5bf751d12d1cc2d341.pdf |
| _version_ | 1827396159431245824 |
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| author | AHMED SHIHAB AHMED |
| author_facet | AHMED SHIHAB AHMED |
| author_sort | AHMED SHIHAB AHMED |
| collection | DOAJ |
| description | Throughout the past few years, several researchers have introduced various methods and various algorithms for a precise and dependable sketch-based image retrieval system. In this paper, a proposed sketch-based image retrieval system is introduced. The framework goes over two phases: creating the sketch dataset phase and implementing SIFT (scale invariant feature transform) algorithm. The sketch dataset was created by selecting 100 colored image passed through canny edge detection operator. The system tends to enter a line-based/hand-drawing sketch and applies the SIFT algorithm to match between the input sketch and all sketches in the dataset. SIFT is one of the main efficient algorithms that are used to make description and matching, since it works on large keypoints. This system retrieves images depending on sketch image, and the result of matching will retrieve images that are approximate the entered sketch. The proposed system is assessed according to the measures that are utilized in detection, description and matching grounds, which are precision, recall and accuracy measures. The system showed (96 %) accuracy for line based sketches and (84%) for hand drawing where the detection was identical. |
| first_indexed | 2024-03-08T18:46:45Z |
| format | Article |
| id | doaj.art-358381f48d6d49a3b2104021eefbd544 |
| institution | Directory Open Access Journal |
| issn | 1991-8941 2706-6703 |
| language | English |
| last_indexed | 2024-03-08T18:46:45Z |
| publishDate | 2019-12-01 |
| publisher | University of Anbar |
| record_format | Article |
| series | مجلة جامعة الانبار للعلوم الصرفة |
| spelling | doaj.art-358381f48d6d49a3b2104021eefbd5442023-12-28T22:00:16ZengUniversity of Anbarمجلة جامعة الانبار للعلوم الصرفة1991-89412706-67032019-12-01132556310.37652/juaps.2022.172129172129IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHMAHMED SHIHAB AHMED0Department of Basic Sciences, College of Nursing, University of Baghdad, Baghdad, IraqThroughout the past few years, several researchers have introduced various methods and various algorithms for a precise and dependable sketch-based image retrieval system. In this paper, a proposed sketch-based image retrieval system is introduced. The framework goes over two phases: creating the sketch dataset phase and implementing SIFT (scale invariant feature transform) algorithm. The sketch dataset was created by selecting 100 colored image passed through canny edge detection operator. The system tends to enter a line-based/hand-drawing sketch and applies the SIFT algorithm to match between the input sketch and all sketches in the dataset. SIFT is one of the main efficient algorithms that are used to make description and matching, since it works on large keypoints. This system retrieves images depending on sketch image, and the result of matching will retrieve images that are approximate the entered sketch. The proposed system is assessed according to the measures that are utilized in detection, description and matching grounds, which are precision, recall and accuracy measures. The system showed (96 %) accuracy for line based sketches and (84%) for hand drawing where the detection was identical.https://juaps.uoanbar.edu.iq/article_172129_caedae3cd465de5bf751d12d1cc2d341.pdfsketch-based image retrievaledge detectionsiftkeypointsbased-line sketchhand drawing sketch |
| spellingShingle | AHMED SHIHAB AHMED IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM مجلة جامعة الانبار للعلوم الصرفة sketch-based image retrieval edge detection sift keypoints based-line sketch hand drawing sketch |
| title | IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM |
| title_full | IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM |
| title_fullStr | IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM |
| title_full_unstemmed | IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM |
| title_short | IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM |
| title_sort | implementing sketch based image retrieval system using edge detection and sift algorithm |
| topic | sketch-based image retrieval edge detection sift keypoints based-line sketch hand drawing sketch |
| url | https://juaps.uoanbar.edu.iq/article_172129_caedae3cd465de5bf751d12d1cc2d341.pdf |
| work_keys_str_mv | AT ahmedshihabahmed implementingsketchbasedimageretrievalsystemusingedgedetectionandsiftalgorithm |