[1]王建卫.保持边缘的低照度彩色图像增强算法[J].计算机技术与发展,2018,28(01):116-120.[doi:10.3969/ j. issn.1673-629X.2018.01.025]
 WANG Jian-wei.An Enhancement Algorithm for Low-illumination Color Image with Preserving Edge[J].Computer Technology and Development,2018,28(01):116-120.[doi:10.3969/ j. issn.1673-629X.2018.01.025]
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保持边缘的低照度彩色图像增强算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年01期
页码:
116-120
栏目:
智能、算法、系统工程
出版日期:
2018-01-10

文章信息/Info

Title:
An Enhancement Algorithm for Low-illumination Color Image with Preserving Edge
文章编号:
1673-629X(2018)01-0116-05
作者:
王建卫
东北林业大学 机电工程学院,黑龙江 哈尔滨 150040
Author(s):
WANG Jian-wei
School of Mechanical and Electrical Engineering,Northeast Forest University,Harbin 150040,China
关键词:
彩色图像增强方法保持边缘非线性函数HSI 颜色空间
Keywords:
color imageenhancement methodpreserving edgenonlinear function transformationHSI color space
分类号:
TP391.41
DOI:
10.3969/ j. issn.1673-629X.2018.01.025
文献标志码:
A
摘要:
为了解决低照度彩色图像的边界提取不完整的问题,依据点处理和颜色空间变换理论,提出了应用非线性函数变换方法处理 HSI 颜色模型的强度分量的彩色图像增强方法。 设计了基于非线性函数变换方法进行彩色图像增强的算法过程,并分析了算法中 RGB 和 HSI 颜色模型转换中强度分量计算公式的三种形式。 通过实验将文中方法与对数函数变换、经典的直方图均衡化方法和小波增强方法进行比较,实验数据表明,该算法简单、适用性广,能够有效提高自然环境下采集的彩色图像的质量,像素值不必修正可直接应用一阶和二阶的边缘检测算子提取边缘。
Abstract:
In order to solve the problem of incomplete boundary extraction of color images under the low light intensity environment,based on theory of pixel processing and color space transformation,we propose a method of processing intensity components of color images based on HSI color model through nonlinear function transformation. The processing of color image enhancement is presented based on nonlinear function transformation and three kinds of formula are also analyzed between RGB and HSI color model. In the experiments,the proposed method is compared with the logarithmic function transformation,the HSItogram equalization and the wavelet enhancement,which shows that it is simple and highly adaptive,and can effectively improve the quality of color images acquired in natural environment. The pixel values need no modification and directly extract the complete edge by means of edge detection operator with first or two order

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更新日期/Last Update: 2018-03-13