BACKGROUND The occurrence of non-melanoma skin cancer (NMSC), including actinic keratosis (AK) is increasing all over the world. The detection and diagnosis of NMSC is not optimal in clinical practice. Complementary methods for detection and accurate demarcation of NMSC at an early stage are needed in order to limit the damage caused by tumours. OBJECTIVE The purpose of the present study was ...

Human skin segmentation in colored images is closely related to face detection and face recognition systems as a preliminary critical required step where it is necessary to search for the precise face location. An important challenge for any image segmentation approach is to accommodate varying illumination conditions and different ethnic groups. We present a general approach for modeling, segm...

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...

Automatic skin detection has been intensively studied for human-related recognition systems. A Gaussian model for skin detection is a well-known approach with its simplicity and generality. In this paper, we discuss limitations of the Gaussian model and suggest a new statistical color model for skin detection, called an elliptical boundary model. The suggested model overcomes the limitations of...

In processes of face detection, face tracking and gesture recognition, the skin color detection is usually a post-processing step that plays such an important role. The skin color detection can almost be viewed as a two class problem with a non-skin color pixel vs. skin color pixel classifier. In this paper, we present a classifier that was built by combining a statistical skin color model and ...

Owing to the interference of the complex background in color image, high false positive rate is a problem in face detection based on AdaBoost algorithm. In addition, the training process of AdaBoost is very time consuming. To address these problems, this paper proposes a two-stage face detection method using skin color segmentation and heuristics-structured adaptive to detection AdaBoost (HAD-A...

As the popularity of digital cameras increases, some limitations of digital technology are becoming apparent and on the other hand it has become imperative to ensure security of information. Looking ahead towards the authentication scheme with a view to optimize it. Skin detection [1] is a very popular and useful technique for detecting and tracking human-body parts. It receives much attention ...

Sarcoidosis and foreign body reactions are common differential diagnoses of skin granuloma formation. We report a 40 year –old man with sarcoid type granulomas containing polarized foreign materials, and also bilateral hilar adenopathy. It appears that detection of foreign bodies in histopatologic studies of granulomas does not necessarily exclude the possibility of sarcoidosis.

Background and Purpose: Naganishia albida (formerly Cryptococcus albidus) is a non-neoformans cryptococcal species rarely isolated as a human pathogen. Case report: Herein, we present the case of a 26-year-old Iranian man with a superficial cutaneous lesion in the axilla. The initial treatment for pityriasis versicolor by clotrimazole was unsuccessful. We performed skin sampling based on the s...

Problem statement: Skin color detection is used as a preliminary step in numerous computer vision applications like face detection, nudity recognition, hand gesture detection and person identification. In this study we present a pixel based skin color classification approach, for detecting skin pixels and non skin pixels in color images, using a novel neural network symmetric classifier. The ne...