摘要: Region growing is defined as a procedure of finding regions containing user defined objects of interest.Growing region is a vital phase for various image processing applications. Growing regionin images has been very challenging a... 展开 Region growing is defined as a procedure of finding regions containing user defined objects of interest.Growing region is a vital phase for various image processing applications. Growing regionin images has been very challenging as it is the base for further image analysis,interpretationand classification.Region growing varies for different purpose of aim.However,the identified regionare widely used for various domain-skin detection, detect object in image,hand gesture detectionetc.In this paper,the main concentration is to defining region of interest from an imagebased on skin detection.A clustering method was used.Skin detection can be used as a preprocessingstep for several applications included but not limited to various Human Computer Interaction(HCI) tasks.However,skin detection is a challenging problem due to sparse variations of skintone of human. Skin tone can be confused with background color,attire color,ethnicity,individualcharacteristics-age,sex,body parts,makeup,hair color,presence of non-human objects and cameracalibration.Besides that,lightning conditions also plays a vital role. Researchers have been workingtirelessly for an e cient skin detection method but those are not beyond limitations.Various approachincluding pixel wise threshold for various color spaces,segmentation, face and hand detectionbased approaches are proposed.But it still lacks from a method which can be applied for all typesof skin detection. In this paper,a novel skin detection method is proposed which is free from anymanual threshold values and automatically define number of clusters. 收起