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Volume 11, Issue 2
Content Based Image Retrieval for Space Weather Application

Esraa Zeki Mohammed

J. Info. Comput. Sci. , 11 (2016), pp. 146-152.

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  • Abstract
The research presented in this paper was aimed to develop an CBIR system to aid in automatically detect and retrieve solar flares images based on detected edges and color features. In general, the work consists of two phases: (1) enrollment phase, which consist of feature extraction based on Conventional Color Histograms (CCH) and edge detection for sunspots and active regions on the sun using Sobel filter, (2) retrieving phase, which use the similarity measurement to retrieve most similar images from the database for a given query sample. The conducted tests were carried on 250 images and give good precision and recall rates.
  • Keywords

color histogram, image retrieval, similarity measure, sobel filter, solar flares, sunsopts.

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COPYRIGHT: © Global Science Press

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@Article{JICS-11-146, author = {Esraa Zeki Mohammed}, title = {Content Based Image Retrieval for Space Weather Application}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {11}, number = {2}, pages = {146--152}, abstract = { The research presented in this paper was aimed to develop an CBIR system to aid in automatically detect and retrieve solar flares images based on detected edges and color features. In general, the work consists of two phases: (1) enrollment phase, which consist of feature extraction based on Conventional Color Histograms (CCH) and edge detection for sunspots and active regions on the sun using Sobel filter, (2) retrieving phase, which use the similarity measurement to retrieve most similar images from the database for a given query sample. The conducted tests were carried on 250 images and give good precision and recall rates. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22523.html} }
TY - JOUR T1 - Content Based Image Retrieval for Space Weather Application AU - Esraa Zeki Mohammed JO - Journal of Information and Computing Science VL - 2 SP - 146 EP - 152 PY - 2024 DA - 2024/01 SN - 11 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22523.html KW - color histogram, image retrieval, similarity measure, sobel filter, solar flares, sunsopts. AB - The research presented in this paper was aimed to develop an CBIR system to aid in automatically detect and retrieve solar flares images based on detected edges and color features. In general, the work consists of two phases: (1) enrollment phase, which consist of feature extraction based on Conventional Color Histograms (CCH) and edge detection for sunspots and active regions on the sun using Sobel filter, (2) retrieving phase, which use the similarity measurement to retrieve most similar images from the database for a given query sample. The conducted tests were carried on 250 images and give good precision and recall rates.
Esraa Zeki Mohammed. (2024). Content Based Image Retrieval for Space Weather Application. Journal of Information and Computing Science. 11 (2). 146-152. doi:
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