Research on Semi Supervised Image Segmentation Using Optimal Hierarchical Clustering by Selecting Interested Region as Prior Information

The initial stage in image processing, pattern recognition, and feature extraction is picture segmentation. This segmentation may be done using a variety of approaches. This is a crucial yet fundamental part of image analysis as it is the single factor that affects the characteristics of the finished image analysis output. The semi-supervised picture segmentation using the hierarchical clustering technique is discussed in this study. The prior information for the clustering process is given as an interested area selection from image using mouse. The picture qualities of intensity, colour, and texture are discussed here. The suggested technique provides more clarity of segmented regions than previous semi-supervised approaches.