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Detection of Red Region of Fuji Apple Based on RGB Color Model

, 2016
Color of fruits is an important index for the classification of fruits, which will affect consumers′ purchase desire. An algorithm based on RGB color model is studied to detect the red area of Fuji apple. The light compensation of image is used to reduce
黄兆良 Huang Zhaoliang   +1 more
semanticscholar   +1 more source

What Color Is Your Method? Adaptation of the RGB Additive Color Model to Analytical Method Evaluation.

Analytical Chemistry, 2019
Evaluation of an analytical method is a fundamental problem in analytical chemistry, and it is never straightforward. In this article we show a perspective for facing this issue using an original tool.
P. Nowak, P. Kościelniak
semanticscholar   +1 more source

Plant Chili Disease Detection using the RGB Color Model

, 2013
Nowadays, 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.
Z. Husin, A. Shakaff, A. Aziz, R. Farook
semanticscholar   +1 more source

A Multi-Model Fusion Framework for NIR-to-RGB Translation

Visual Communications and Image Processing, 2020
Near-infrared (NIR) images provide spectral information beyond the visible light spectrum and thus are useful in many applications. However, single-channel NIR images contain less information per pixel than RGB images and lack visibility for human ...
Longbin Yan   +4 more
semanticscholar   +1 more source

Comparison of color model for flower recognition

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE), 2018
Comparison to RGB, HSV, LAB and YCbCr color model in a flower recognition has been conducted for 12 species from two families. Flower images were obtained from the ImageCLEF 2017 dataset.
P. Rosyani   +3 more
semanticscholar   +1 more source

Fruit Ripeness Based on RGB, HSV, HSL, L*a*b* Color Feature Using SVM

2019 International Conference of Computer Science and Information Technology (ICoSNIKOM), 2019
In this study, we have created a fruit ripeness dataset for 8 categories, namely Ripe Mango, Ripe Tomato, Ripe Orange, Ripe Apple, Unripe Mango, Unripe Tomato, Unripe Orange, and Unripe Apple.
Jasman Pardede   +3 more
semanticscholar   +1 more source

Deep Model-Based 6D Pose Refinement in RGB

European Conference on Computer Vision, 2018
We present a novel approach for model-based 6D pose refinement in color data. Building on the established idea of contour-based pose tracking, we teach a deep neural network to predict a translational and rotational update.
Fabian Manhardt   +3 more
semanticscholar   +1 more source

Near-infrared fluorescence cholangiography at a very low dose of indocyanine green: quantification of fluorescence intensity using a colour analysis software based on the RGB color model

Langenbeck's archives of surgery (Print), 2022
N. Pujol-Cano   +6 more
semanticscholar   +1 more source

Individual plant recognition using the RGB color model

Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010
M. Tilneac, V. Dolga
semanticscholar   +1 more source

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