color detection paper 2018
Traffic Sign Detection based on Color Segmentation of Obscure Image Candidates: A Comprehensive Study.
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Automated Vehicular System has become a necessity in the current technological revolution. Real Traffic sign detection and recognition is a vital part of that system that will find roadside traffic signs to warn the automated system or driver beforehand of the physical
Fast and accurate on-road vehicle detection based on color intensity segregation
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A new method for detection of on-road vehicles based on color intensity segregation is proposed. This method has two steps. Firstly, details such as pavements or lanes in the image frame are utilized to extract the region of interest. Secondly, a new filter is proposed
Pupil detection based on color difference and circular hough transform
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Human pupil eye detection is a significant stage in iris segmentation which is representing one of the most important steps in iris recognition. In this paper, we present a new method of highly accurate pupil detection . This method is consisting of many steps to detect the
Visual Saliency Detection Based on color Frequency Features under Bayesian framework.
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Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up
Skin Detection Technique Based on HSV Color Model and SLIC Segmentation Method?
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The paper is devoted to new skin detection technique based on the HSV color model and SLIC segmentation method. The algorithm of skin detection is described. Experiments results are presented. The influence of training images on the skin detection is shown. New
Indoor-Outdoor Detection using Head-mounted Color Light Sensors
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Spending adequate amount of time outdoor is helpful for both physical and psychological health. Indooroutdoor (IO) detection , provides useful information for end-users by allowing the monitoring of time spent inside and outside. In addition, IO detection is extremely
On effectiveness of human cell nuclei detection depending on digital image color representation
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The paper presents results of research on effectiveness of automated detection of human body cells nuclei depending on the digital image color representation used. The problem importance is presented, data representation and processing problems are discussed. The
Connected Component Clustering Based Hemorrhage Detection in Color Fundus Images
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Damage of retina due to diabetes is termed diabetic retinopathy. Hemorrhages and Microaneurysms are the first clinically visible symptoms of diabetic retinopathy. Detecting and treating diabetic retinopathy early can prevent vision loss. Accurate segmentation of
Color Based New Algorithm for Detection and Single/Multiple Person Face Tracking in Different Background Video Sequence
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Due to the lack of particular algorithms for automatic detection and tracking of person face (s), we have developed a new algorithm to achieve detection and single/multiple face tracking in different background video sequence. To detect faces, skin sections are
RGB Color Sensor based Object Detection SCADA
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This paper describes the new technique used for the RGB color detection . The proposed technique illustrate the new methodology that can be used for the primary color detection and applications in various industries. It is color sensor that sense mainly red green and
Real-time human skin color detection using OTSU thresholding
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Skin color is a robust cue in human skin detection . In the development of Human-Computer Interface (HCI) applications, information that is relative to skin color is extensively utilized. Human skin color shows resemblance with non-skin materials like wood, wall paint etc. So
Color detection in RGB-modeled images using MAT LAB
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This research work introduces a method of using color thresholds to identify two- dimensional images in MATLAB using the RGB Color model to recognize the Color preferred by the user in the picture. Methodologies including image color detection convert a
Object Detection for Color Blind Applying Binary Images
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In this paper is basically used for Color blind peoples and color blindness test. Color blindness is a defect of color vision. Due to presence of color blindness, human eye becomes unable to differentiate colors. General reason for color blindness is genetic, but
Video Processing in Visual System for Color Detection for People with Tritanomaly
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In this paper, a video re-coloring algorithm have been performed for the anomalous trichromats type tritanomaly is presented. We firstly propose a method to handle the weaknesses faced by the anomalous trichromacy and finally build an interface that will
Robotic arm control using human interface through color detection
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In present times, industries face common obstacles like shortage of time and workers which leads to inefficient production. A feasible solution for this problem can be achieved using robotics. Robots save a lot of time and robots are designed for specific tasks according to
An Intelligent Skin Color Detection Method based on Fuzzy C-Means with Big Data
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When purchasing clothes, people always rely on intuition or follow the fashion trend for color selection. People never understand how to select the right color to match with them. A systematic method for detecting skin colors for clothes is proposed in this study. In the
Automatic Drusen Detection and Area Calculation from Color Retinal Images
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Drusens are white or yellow spots in eye fundus that consist of extra cellular material. The health of the retina deteriorates with age in some people due to the appearance of drusens. Nowadays, ophthalmologists use fundus camera to examine patients retina. The retinal
Indian Agro Based Pest Region Detection by clustering and Pseudo- Color Image Processing
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As far as food security, quality of life along with a stable agricultural economy is concerned it is of utmost importance to detect and identify plant pests. It can be achieved through this research project by determining various combinations of K-means clustering algorithm and
Fire Detection System using RGB Color Model
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Earlier there was loss of life and property due to fire. So to alert people an early warning is must. Some systems used temperature and smoke detectors to detect fire. And it uses to take more time to detect fire. Our system is based on light detection analyzing light is proposed
An Elliptical Boundary Skin Model For Hand Detection Based on HSV Color Space
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Detection and tracking of human face and hands are curial for gesture recognition. In this paper, a skin segmentation framework is presented, where a robust elliptical model in HSV color space is developed, which promises not only to better model the skin color , but also to CSE PROJECTS