in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

Searching for an image in a database is important different applications; hence, many algorithms have been proposed to identify the contents of image. In some applications, but not all, identifying content as whole can offer good results. object inside more most applications than whole. Therefore, studies focused on segmenting into small sub-images and identified their contents. view concepts h...

Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...