Face detection is the first basic component of any face processing system. In the last few years, Researchers have shown an interest in the active research area such as Face Detection and recognition system. Face recognition system is used to recognize person by employing only his person’s image. Face detection technique is used to detect human face and extract the region of interest. The next ...

in a study of 310 patients with suspected dermatophytic lesions, 110 cases of dermatophytosis, were diagnosed by direct smear in 10% koh and culture by two methods, skin stripping with use of adhesive tape and scrapping with scalpel blade conventional technique). out of 65 positive cultures, in 33 cases, growth was obtained by methods (scraping and stripping), 23 by the conventional technique a...

Face detection is one of the important issues which nowadays many communities deal with it and beside, faces recognition is one of the most important areas of research in most of the industrial and research centers. Three main pillars has been considered in face detection which are: classified as the skin and non-skin color, design templates for face, and feature extraction from face images ena...

Skin cancers are cancers that due to the development of abnormal cells that have the ability to invade or spread to other parts of the body. There are three main types: basal-cell cancer, squamous-cell cancer and melanoma. Among the three melanoma spreads through metastasis, and therefore it has been proved to be very fatal. Melanomas typically occur in the skin and identification of skin cance...

Human skin detection is a very popular in many applications, particularly in video surveillance. Many researchers have conducted research in this area, by producing a variety of effective methods. In this paper, research carried out by using a simple algorithm, lower cost, and high detection rate; a hybrid method for detecting human skin region that base on background subtraction and skin color...

This paper presents a skin color model for face detection based on YCbCr Gauss model and KL transform. The simple gauss model and the region model of the skin color are designed in both KL color space and YCbCr space according to clustering. Skin regions are segmented using optimal threshold value obtained from adaptive algorithm. The segmentation results are then used to eliminate likely skin ...

In this paper we present a skin color model for accurate face detection which combines skin color learning and image segmentation. This approach starts from a coarse segmentation which provides regions of homogeneous statistical color distribution. Some regions represent parts of human skin and are selected by minimizing an error between the color distribution of each region and the output of a...

This paper presents a face localization and tracking algorithm which is based upon skin color detection and principle component analysis (PCA) based eye localization. Skin color segmentation is performed using statistical models for human skin color. The skin color segmentation task results in a mask marking the skin color regions in the actual frame, which is further used to compute the positi...

Real time faces detection and face tracking is one of the challenging problems in application like computer human interaction, video surveillance, biometrics etc. In this paper we are presenting an algorithm for real time face detection and tracking using skin color segmentation and region properties. First segmentation of skin regions from an image is done by using different color models. Skin...

Airborne fungal pathogens such as Penicillium, Aspergillus, Cladosporium, Trichophyton, and Alternaria may cause health problems. In this research, the fungal flora at different bakeries and their potential allergenic effects on the workers were investigated. We investigated 148 workers at 17 industrial type bakeries and 62 workers at 17 home type bakeries in Afyon. Our study was performed in t...