نتایج جستجو برای: skin detection
تعداد نتایج: 751355 فیلتر نتایج به سال:
Background: Skin cancer is the most common type of cancer in the world. Pattern of skin cancer is different in various geographical regions, depending on the genetic and environmental factors. Objective: This study aims to investigate the incidence rate of skin cancer and its trends in Guilan province of Iran during 2010-2014. Materials and Methods: In this descriptive cross-sectional study,...
Two types of combining strategies were evaluated namely skin features and classifiers. Several rules applied where the outputs classifiers are combined using binary operators such as AND OR operators, Voting, Sum Weights a new neural network. Three chrominance components from YCbCr colour space that gave highest correct detection on their single feature MLP selected parameters. A major issue in...
Pain and detection thresholds to short CO2 laser pulses were studied in healthy human subjects. Pain thresholds were significantly higher than detection thresholds in both hairy and glabrous skin; in the glabrous skin both thresholds were higher in the hairy skin. The range from detection threshold to pain threshold was larger in the glabrous skin. The minimal energy per surface area needed to ...
To detect and recognise hand postures against complex backgrounds, we propose a novel model that is constructed by the integration of image saliency and skin information. Although a skin model is a simple and efficient strategy by which to locate skin regions within images, it is easily affected by complex backgrounds, e.g. skin-like background regions and various lighting conditions. To solve ...
Skin region detection plays an important role in a variety of applications such as face detection, adult image filtering and gesture recognition. We present some definitions about digital imaging or numerical imaging and also the several image preprocessing and normalization. In this paper, we will tackle with two sub-problems which is the skin detection and face detection. We will propose skin...
Self-Organizing Map (SOM) is an unsupervised neural network using for object detection and recognition in numerous image processing applications. This paper presents a methodology to achieve an automated detection of nipples by obscene pictures. The proposed system is composed of a human skin detection using for non-skin removal process based on image processing and a nipple detection using for...
In the current era of World Wide Web, human skin detection is a critical parameter in computer vision and image processing applications. With diverse range of applications in forensic sciences, medical imaging, pornography filtering, image retrieval, video surveillance etc., skin detection algorithms are to face many challenges. The major problems in detection of human skin color are varying sh...
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