The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...

Object detection has been a focus of research in human-computer interaction. Skin area detection has been a key to different recognitions like face recognition, human motion detection, pornographic and nude image prediction, etc. Most of the research done in the fields of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins. Although th...

Skin cancer is the most common type of cancer in the United States. US incidence of malignant melanoma is increasing faster than any other type of cancer. To minimize increasing morbidity and mortality rates, it is imperative that appropriate screening and early detection of skin cancer become more widespread. All physicians who see patients clinically have the potential for detecting skin canc...

Detecting skin color from image sequences has played an important role in many computer vision applications, such as face detection and tracking. Even though there are a number of approaches for skin color detection, most of the existing algorithms produce false positives when non-skin pixels have similar color to skin color. To overcome this problem, this paper proposes a method that combines ...

The robustness of web technologies allows huge collection of information to be available through internet. Among this information, some of them are unhealthy and undesirable. This kind of harmful information will make bad impact on human development especially to children and teenagers. Therefore, an explicit image filtering method based on skin detection is proposed in this project. Skin detec...

In this paper, we present a system for anonymous visual communications. Target application is an anonymous video chat. The system is identifying faces in the video sequence by means of face detection or skin detection. The corresponding regions are subsequently scrambled. We investigate several approaches for scrambling, either in the image-domain or in the transform-domain. Experiment results ...

© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2875 Skin Cancer Detection Using Image Processing Uzma Bano Ansari1 M.E. Student, Department of Computer,TSEC,Mumbai Tanuja Sarode2 Associate Professor, Department of Computer, TSEC, Mumbai ---------------------------------------------------------------------------------------------------------------------------...

Corresponding Author: Mohd Zamri Osman Department of Computer Science, Information Assurance and Security Research Group (IASRG), Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia Email: [email protected] Abstract: This paper presents a skin colour detection based on an improved dynamic threshold method to reduce false skin detection. Current fixed threshold sk...

Skin region detection plays an important role in a variety of applications such as face detection, adult image filtering and gesture recognition. To improve the accuracy and speed of skin detection, in this paper, we describe a fast adaptive skin detection approach that works on DCT domain of JPEG image and classifies each image block according to its color and texture properties. Main contribu...