Nails are one part of the fingers and toes, by observing the shape and the condition of the
nails, health expert can find out information about a person's health. However, this …

Skin detection involves identifying skin and non-skin areas in a digital image and is
commonly used in various applications, such as analyzing hand gestures, tracking body …

Skin detection is the process of discriminating skin and non-skin regions in a digital image
and it is widely used in several applications ranging from hand gesture analysis to track …

Color is an efficient feature for object detection as it has the advantage of being invariant to
changes in scaling, rotation, and partial occlusion. Skin color detection is an essential …

Face detection perceives great importance in surveillance paradigm and security paradigm
areas. Face recognition is the technique to identify a person identity after face detection …

Human skin detection, which is one of the important pre-processing phases, has a wide
range of applications such as face tracking, skin diseases, video surveillance, web content …

Background An automatic bathing robot needs to identify the area to be bathed in order to
perform visually-guided bathing tasks. Skin detection is the first step. The deep convolutional …

The use of deep-learned features has recently allowed for improving the performance of skin
detection and segmentation. In particular, fully-convolutional U-Nets, proposed for …

In this work we propose a novel post processing approach for skin detectors based on
trained morphological operators. The first step, consisting in skin segmentation is performed …

It has been shown that deep convolutional neural networks (CNNs) reduce JPEG
compression artifacts better than the previous approaches. However, the latest video …