Improved Automatic Seed Selection Region Growing Algorithm For Segmentation (Iassrg)

The proposed Improved Automatic Seed Selection Region Growing algorithm (IASSRG) is based on seed selection segmentation method which facilitates the user to classify the visual difference of segmenting the infected region from the uterus surface. Fibroids are extracted from the image based on the density of the pixel. Four metrics, including the Specificity, Accuracy, FMeasure, and Sensitivity, are used for evaluating the performance efficiency of the proposed Improved Automatic Seed Selection Region Growing Algorithm (IASSRG) for segmentation with the existing methods. The proposed method achieved 98 per cent of accuracy, which is relatively performed better than other existing methods considered for this study.