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In recent years color as a good cue that can be used in early stages of objects detection in digital images absorbed attention of the researchers. As a special problem, skin color detection gained high application in face detection, image content filtering and content aware video compression. In this paper, we address the problem of pixel-based skin color detection. At first, as a two class classification...
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have...
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have...
This paper introduces an image content filtering model based on clustering and rough compatibility relation. In order to reduce the influence by lighting, a new gamma correction method is used to adjust the pixel values. This filtering model use a TLHS color model that improve on the saturation arithmetic based on GLHS color model. TLHS color model has a steady skin color clustering with great efficiency...
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