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Individual plant recognition using the RGB color model
Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010Changes in light intensity cause major difficulties in the plant recognition. In order to solve this problem, we started the development of a plant recognition method, with high efficiency in variable lighting conditions. This will be implemented to an autonomous mobile robot for weed control.
Mihaela Tilneac, Valer Dolga
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Comparison of Fabric Color Naming Using RGB and HSV Color Models
2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2018This paper aims to find an effective method for identifying colors of fabrics. We consider the following color naming models: Basic Color terms, ISCC-NBS Color system, Frery’s Color name, and Fractals Lab’s Ultimate color vocabulary. The appropriate color name is assigned for a fabric image by using seven types of minimum distance in RGB and HSV color ...
Piyapat Charoensawan +2 more
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Study on moving object detection based on RGB color model
2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI), 2012The traditional background difference method is based on gray image. Some information is lost when color image is transformed into gray image. So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows. In this paper, the background difference is based on RGB color model. It is proposed to use
Chun Yang Liu +2 more
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Plant Chili Disease Detection using the RGB Color Model
International Journal of Digital Content Technology and its Applications, 2013Nowadays, chili is an important and high value product that able to give higher returns to farmers. However, chili plant fruitfulness should be given priority so that it's not damaged by pets and diseases. There are a few diseases that could attack the chili plant through the leaves.
Z. Husin - +3 more
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43.1: Color Optimization Model for High Dynamic Range LCDs with RGB Color Backlights
SID Symposium Digest of Technical Papers, 2009Abstract The high dynamic range liquid crystal display (HDR‐LCD) with the color controlled backlight can achieve low power consumption, high color saturation and high contrast ratio. A modified color model for the RGB LEDs backlight system was proposed to optimize the color appearance in this paper.
Yi‐Ling Chen +4 more
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Shadow Detection Based on rgb Color Model
2006A shadow detection scheme based on photometric invariant rgb color model is proposed. We firstly study the photometric invariance of rgb color model and deduce some important property. The algorithm combines the cues of moving cast shadow on brightness and chromaticity successively to detect candidate shadow regions in rgb color space; finally, a post ...
Baisheng Chen, Duansheng Chen
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Shadow detection based on RGB and YIQ color models in color aerial images
2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015In color aerial images, shadows appearing in images may cause false color tones, loss of feature information, and shape distortion of objects, which affects further image processing tasks. Hence, shadow detection is one of the challenging tasks in image processing.
Ashwini Khekade, Kishor Bhoyar
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Method for determining mixing index in microfluidics by RGB color model
Asia-Pacific Journal of Chemical Engineering, 2020AbstractMicrofluidic mixing is a key process in miniaturized analysis system. Achieving adequate mixing performance is considerably difficult in microfluidic micromixer, as the flow is always associated with unfavorable laminar flow and dominated by molecular diffusion.
Fahizan Mahmud, Khairul Fikri Tamrin
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Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model
IEEE Transactions on Image Processing, 2014This paper proposes an adaptive color-guided autoregressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. We observe and verify that the AR model tightly fits depth maps of generic scenes. The depth recovery task is formulated into a minimization of AR prediction errors subject to measurement ...
Yang, Jingyu +4 more
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