Review and Comparison of Various Feature Extraction Techniques in CBIR
Aditi Mehta, Paulami Shah · 2013
In fields such as medical, art galleries, museums, archaeology, medical imaging, trademark databases, criminal investigations, images especially the digital images grow in quantities of thousands and sometimes even lakhs every year. Content based image retrieval is required from such large databases. This paper compares various CBIR techniques based on difference in generating feature vectors in the transform as well as the non-transform domain. Euclidean Distance is used for the purpose of similarity measure. Four performance evaluation parameters namely, precision, recall, LIRS and LSRR are used.