A new retrieval system based on quaternion radial orthogonal Jacobi moments for biomedical color images

The field of study in biomedical research needs to be carried out on human volunteers. Its aim is to improve knowledge of health matters after receiving biological or medical information and, in particular, diagnosis using medical colour images. The ability of an extraction system to retrieve features using its feature descriptor is the first indication of its effectiveness. The appropriate feature descriptor to obtain features from two types of medical images is the Jacobi moment system (QROJM), due to its efficient performance compared to OFMM and RALM. In my work, I obtained a percentage of NIRE value for colour medical image compared to ARP, ARR and F_SCORE. These values are of great practical importance in the field of medical scanners (MRI). The two databases we used for image retrieval are briefly described as LGG and ISIC. My QROJM approach proved to be a clear destination compared to other techniques LBP, LDEP, QOFMMs, and RALMs in terms of results and performance.