Enhanced Visual Analytics Technique for Content-Based Medical Image Retrieval

Content-based image retrieval (CBIR) is a method for searching that finds related images in medical database. Furthermore, clinical adaptation of CBIR hampered part by contextual gap the disparity among person characterization picture and framework image. This technique makes it tough user to validate fetched are similar query addition only fetches top-ranked ignores low-ranking ones. Visual Analytics Medical Image Retrieval novel procedure medicinal proposed this research (VAMIR). By integrating human machine analysis, provides potential address above-mentioned significant challenges. The texture properties retrieved using shape features extraction Gray Level Co-occurrence Matrix (GLCM) performed contour-based descriptor. Using Euclidean distance correlation metric, pictures will be distinguishing image's attribute vector with database images' respective vectors. A multiple outperforms single feature terms quality. VAMIR implementation demonstrates search outcome acquired 90% recall precision.