colour detection paper






A survey on pixel-based skin color detection techniques
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Skin color has proven to be a useful and robust cue for face detection , localization and tracking. Image content filtering, contentaware video compression and image color balancing applications can also benefit from automatic detection of skin in images

An elliptical boundary model for skin color detection
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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

Comparative study of skin color detection and segmentation in HSV and YCbCr color space
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This paper presented a comparative study of human skin color detection HSV and YCbCr color space. Skin color detection is the process of separation between skin and non-skin pixels. It is difficult to develop uniform method for the segmentation or detection of human

A new fast skin color detection technique
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Skin color can provide a useful and robust cue for human-related image analysis, such as face detection , pornographic image filtering, hand detection and tracking, people retrieval in databases and Internet, etc. The major problem of such kinds of skin color detection

Comparative study for two color spaces HSCbCr and YCbCr in skin color detection
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Most of the government as well as trade houses and defense organizations are taking advantage of biometric applications to arrange for advanced security solutions. Biometric security has already proven its significance. Even though, the application of Face

Road and traffic sign color detection and segmentation-a fuzzy approach
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This paper presents a new algorithm for color detection and segmentation of road signs based on fuzzy sets. The images were taken by a digital camera mounted in a car. The RGB image was converted into HSV color space, and segmented by using a set of fuzzy rules

A robust skin color based face detection algorithm
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In this paper, a detailed experimental study of face detection algorithms based on Skin Color has been made. Three color spaces, RGB, YCbCr and HSI are of main concern. We have compared the algorithms based on these color spaces and have combined them to get

A self-calibrating chrominance model applied to skin color detection .
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In case of the absence of a calibration procedure, or when there exists a color difference between direct and ambient light, standard chrominance models are not completely brightness invariant. Therefore, they cannot provide the best space for robust color

Appearance-based obstacle detection with monocular color vision
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This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground based on its color appearance. The method uses a single passive color camera, performs in real

A fast HSV image color and texture detection and image conversion algorithm
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In order to identify the perceived qualities of texture and color in an building mathematical models for object, a optimized and efficient algorithm A Fast HSV Image Color and Texture Detection Algorithmbased on color intensity using Artificial Intelligence is presented in this

A comparative study on color edge detection
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Several approaches of different complexity already exist to edge detection in color images. Nevertheless, the question remains of how different are the results when employing computational costly techniques instead of simple ones. This paper presents a comparative

Plant microsatellite genotyping with 4- color fluorescent detection using multiple-tailed primers.
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We extended the concept of fluorescent microsatellite genotyping with a single-universal tailed primer to the simultaneous use of three different tailed primers to allow multiplexed 4- color detection for medium throughput genotyping of plant species. The method was tested

Explicit image detection using YCbCr space color model as skin detection
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In this paper a novel way to detect explicit content images is proposed using the YCbCr space color , moreover the color pixels percentage that are within the image is calculated which are susceptible to be a tone skin. The main goal to use this method is to apply to

Fusion of skin color detection and background subtraction for hand gesture segmentation
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Computer Interaction. They serve as primary interaction tools for gesture based computer control. The present work is a part of vision based hand gesture recognition system for Human Computer Interaction. We have proposed an algorithm with the fusion of skin color

UNSCARF-a color vision system for the detection of unstructured roads.
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This research addresses the problem of navigating a robot vehicle on unstructured roads, which have no lane markings, have degraded surfaces and edges, and be partially obscured by strong shadows. These conditions cause many road following systems to fail

Video shot boundary detection based on color histogram
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Abstract In TREC 2003 Video Track, the Digital Television Center of La Salle School of Engineering, Ramon Llull University, participated in the shot boundary detection task. In this paper we present a method for video shot boundary detection based on color histogram

Design and development of a machine vision system for part color detection and sorting
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Nowadays various automation techniques are being adopted researched for increase in productivity, better accuracy, eliminating the human errors and for safety. Machine Vision is one such advancement in automatic systems. Machine vision performs the tasks that are

An innovative face detection based on skin color segmentation
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It is very challenging to recognize a face from an image due to the wide variety of face and the uncertain of face position. The research on detecting human faces in color image and in video sequence has been attracted with more and more people. In this paper, we propose a

Concealed weapon detection using color image fusion
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Image fusion is studied for detecting weapons or other objects hidden underneath a persons clothing. The focus of this paper is to develop a new algorithm to fuse a color visual image and a corresponding IR image for such a concealed weapon detection application

Skin color detection using region-based approach
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Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper, which extended our previous work , presented CSE PROJECTS

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