| 基于RGB色彩空间的四带树木图像颜色校正方法 |
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| 引用本文： | 林李金,蔡坚勇,蔡荣太,罗丽丽,蔡娟.基于RGB色彩空间的四带树木图像颜色校正方法[J].计算机系统应用,2014,23(4):154-158. |
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| 作者姓名： | 林李金 蔡坚勇 蔡荣太 罗丽丽 蔡娟 |
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| 作者单位： | 福建师范大学 光电与信息工程学院, 福州 350007;福建师范大学 光电与信息工程学院, 福州 350007;福建师范大学 医学光电科学与技术教育部重点实验室, 福州 350007;福建师范大学 福建省光子技术重点实验室, 福州 350007;福建师范大学 智能光电系统工程研究中心, 福州 350007;福建师范大学 光电与信息工程学院, 福州 350007;福建师范大学 光电与信息工程学院, 福州 350007;福建师范大学 光电与信息工程学院, 福州 350007 |
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| 基金项目： | 福建省高校产学合作科技重大项目（2011H61010034） |
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| 摘 要： | 针对图像受近红外光线参与的影响而出现偏色现象，介绍了一种基于RGB色彩空间的四带（RGB带和一个附加的近红外带）树木图像颜色校正方法. 该方法首先根据R-G差值图像，通过实验获取合适的阈值将四带树木图像二值化. 然后，利用中值滤波器和数学形态学对二值图像进行滤噪处理，提取出偏色较严重区域. 最后分区域进行颜色校正，达到消除近红外干扰的目的. 实验结果表明，该方法对部分常见含植物的场景图像有比较好的校正效果.
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| 关 键 词： | 四带树木图像 RGB色彩空间 二值化 中值滤波 形态学 颜色校正 |
| 收稿时间： | 9/3/2013 12:00:00 AM |
| 修稿时间： | 2013/11/11 0:00:00 |
Color Correction Algorithm for Four-band Tree Image Based on RGB Color Space |
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| LIN Li-Jin,CAI Jian-Yong,CAI Rong-Tai,LUO Li-Li and CAI Juan.Color Correction Algorithm for Four-band Tree Image Based on RGB Color Space[J].Computer Systems& Applications,2014,23(4):154-158. |
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| Authors: | LIN Li-Jin CAI Jian-Yong CAI Rong-Tai LUO Li-Li and CAI Juan |
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| Affiliation: | School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China;Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China;Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China;School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China |
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| Abstract: | A color correction algorithm for four-band (the RGB bands and an additional near-infrared spectrum) tree image based on RGB color space is proposed to correct the images which influenced by near-infrared spectrum. Firstly, based on the difference of R band and G band in the image, obtaining the best binarization threshold of four-band image through the experiment. Second, using the median filter and mathematical morphology to de-noise the binary images, and extracting the area which severely polluted by the near-infrared spectrum. At last, correcting images in different areas with different method, eliminating near-infrared pollutions in the image. The experimental results show that, the algorithm has good correction effect for the images which include plants. |
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| Keywords: | four-band tree image RGB color space binarization median filtering morphology color correction |
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