Skin color segmentationis used to determine whether the color pixel is a skin color or non skin color. Understanding the skin color segmentation which supports to design YCbCr and CIELab algorithm for skin color segmentation which use in various applications such as face detection, human computer interaction, medical x-rays scan, agriculture. In this paper we discuss on face detection algorithm...

Edge detection has been a popular practice in image processing and computer vision applications. Many image processing applications require the discovery of edge details in the gray or color images as a beginning stage of an image processing, vision and understanding. Generally, edge detection on grayscale images is not affluent enough to explain intensity changes. Therefore, we can use color e...

Face detection which is a challenging problem in computer vision, can be used as a major step in face recognition. The challenges of face detection in color images include illumination differences, various cameras characteristics, different ethnicities, and other distinctions. In order to detect faces in color images, skin detection can be applied to the image. Numerous methods have been utiliz...

Skin color detection is the process that classifies unknown colors into skin or non-skin classes. Skin color detection is preliminary step for facial or gesture analysis and can reduce search space for next higher level processing. In this paper, we show that proposed PCAbased color representation can give better performance than other frequently used color spaces such as XYZ and Luv. For skin ...

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...

Obstacle detection algorithm that makes use of color information and color coherence vectors for robust obstacle detection. The algorithm makes use of color cue to classify a pixel in an image as an obstacle or a path. Color is one of the prominent image features. Color information is readily available as input from a color camera. Our algorithm makes use of coherence vectors for representation...

We describe a new color edge detection scheme and a related diffusion process based on hyperbolic coordinates in color space. We derive intensity, hue and saturation based edge detectors and show that the intensity and hue based diffusion processes are governed by the heat equation familiar from conventional scale space theory. A qualitatively new differential equation is derived for the satura...

Enhancing the performance of human face detection, tracking and recognition has been done by skin detection considering it as the fundamental step for the several decades. Of the evolved skin detection techniques, skin cluster classifier based on the human skin tone color are considered along with the concept of combination of two color spaces. This paper presents a novel method of combining mo...