Adaptive maximum global clustering based on coarse-fine scheme for human images
D. S. Renu, K. S. Angel Viji · International Journal of Managment, IT and Engineering · 2013
The main goal of segmentation is to partition an image into regions. Region-based segmentation is a technique for determining the region directly. Human segmentation in photo images is a challenging and important problem that finds numerous applications ranging from album making and photo classification to image retrieval. Previous works on human segmentation usually demand a time-consuming training phase for complex shape-matching processes. In this project, we propose a new method of segmenting an image into several sets of pixels with similar intensity values called regions. In this project, we propose a straightforward framework to automatically recover human bodies from color photos. Our method is made up of two procedures. First, we develop the adaptive global maximum Clustering.