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 region
in images has been very challengi...
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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 region
in images has been very challenging as it is the base for further image analysis,interpretation
and classification.Region growing varies for different purpose of aim.However,the identified region
are widely used for various domain-skin detection, detect object in image,hand gesture detection
etc.In this paper,the main concentration is to defining region of interest from an image
based on skin detection.A clustering method was used.Skin detection can be used as a preprocessing
step 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 skin
tone of human. Skin tone can be confused with background color,attire color,ethnicity,individual
characteristics-age,sex,body parts,makeup,hair color,presence of non-human objects and camera
calibration.Besides that,lightning conditions also plays a vital role. Researchers have been working
tirelessly for an ecient skin detection method but those are not beyond limitations.Various approach
including pixel wise threshold for various color spaces,segmentation, face and hand detection
based approaches are proposed.But it still lacks from a method which can be applied for all types
of skin detection. In this paper,a novel skin detection method is proposed which is free from any
manual threshold values and automatically define number of clusters.
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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 region
in images has been very challenging...
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 region
in images has been very challenging as it is the base for further image analysis,interpretation
and classification.Region growing varies for different purpose of aim.However,the identified region
are widely used for various domain-skin detection, detect object in image,hand gesture detection
etc.In this paper,the main concentration is to defining region of interest from an image
based on skin detection.A clustering method was used.Skin detection can be used as a preprocessing
step 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 skin
tone of human. Skin tone can be confused with background color,attire color,ethnicity,individual
characteristics-age,sex,body parts,makeup,hair color,presence of non-human objects and camera
calibration.Besides that,lightning conditions also plays a vital role. Researchers have been working
tirelessly for an e cient skin detection method but those are not beyond limitations.Various approach
including pixel wise threshold for various color spaces,segmentation, face and hand detection
based approaches are proposed.But it still lacks from a method which can be applied for all types
of skin detection. In this paper,a novel skin detection method is proposed which is free from any
manual threshold values and automatically define number of clusters.
收起
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