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In TCM theory, brightness and moisture is recognized as the Qi , blue red yellow white and black is recognized as the color, the five colors charges blood, the gloss charges Shen. We may diagnose the internal organs' essence by observing the changes of face gloss, which is a very important way to judge the condition and extrapolate the prognosis. However, because of lacking of objective data, the...
Skin color image segmentation is an important part in skin image analysis. Segmentation feature parameter and segmentation arithmetic significantly influence the segmentation result. In this article, we compared RGB, HSV, and Lab color spaces and found that HSV color space as segmentation feature parameter has the advantage. Furthermore, we used an improved Fuzzy-c-means arithmetic (IFCM) in skin...
Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. Steganography method used in this paper is based on biometrics. And the biometric feature used to implement steganography is skin tone region of images. Here secret data is embedded within...
In this paper, we propose an idea that is improving method of likelihood in particle filter. Following methods have been proposed as the previous method by us. First, an user is able to select a tracking object as a region of interest (ROI) in a single image from video sequence. Then, color feature in the ROI are used as a color of interest (COI). During the tracking, two color components of HSV color...
A eye location algorithm for color images was proposed based on face detection. Combination of skin-color segmentation based on both YCbCr color space and HSV color space was used for the face detection. Morphological operations were used for further processing of the skin-like color regions. The grey level information and the geometry feature were used to determine the face boundaries. Grey level...
The face detection problem has attracted wide attention. Some achievements have been obtained in the past decade. The paper presented a novel algorithm of face detection based on segmentation of human faces in color image. The number of human can be counted and can be used to control the lights in a classroom to be all turned on or not based on proposed method in the paper. First, this paper constructs...
The task of correctly identifying and tracking people in a shadow environment for understanding the group dynamics is of paramount importance in many vision systems. This work presents a real time system for detecting and tracking people, in an environment where, people have similar attire. The proposed frame work contains shadow removal in HSV color space, detection through occlusion, person identification...
Human face detection has a wide area of applications in image processing. A new face detection technique is presented in this paper. The technique combines two methods for face detection to achieve better detection rates. The two methods are skin face detection using HSV color space and the back propagation neural networks. In the first module of the technique, we proposed a fast algorithm for detecting...
Skin color is an important feature for face detection and recognition in color images. In order to obtain the possible face regions in color images, the skin color models are always constructed by statistical analysis. Owing to low accuracy of the static models, researches have discussed several dynamic models to correct input image such as illumination compensation, white balance, edge points addition,...
Internet access has dramatically increased the risk of receiving objectionable information such as the pornographic images. Content based Image detection is of the paramount importance in objectionable images filtering in Internet. This paper designed a simplified system by using the HSV color space converted by the law of gravity center and combining the face detection to define and evaluate the...
Face recognition (FR) systems are increasingly gaining more importance. Face detection and tracking in a complex scene forms the first step in building a practical FR system. In this paper a hybrid algorithm to detect face(s) in color images is introduced. The algorithm uses color histogram for skin (in the HSV color space) in conjunction with shape information and facial feature detection to quickly...
This paper proposes an improved version of our previously introduced face detection system based on skin color segmentation and neural networks. The new system uses a support vector machine (SVM) based method for verification.
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