@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}
}