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小波变换在图像照度不均校正中的应用
引用本文:赵素娜,艾矫燕,李世晓.小波变换在图像照度不均校正中的应用[J].计算技术与自动化,2010,29(1):99-101,133.
作者姓名:赵素娜  艾矫燕  李世晓
作者单位:广西大学,电气工程学院,广西,南宁,530004
摘    要:数字图像中照度不均匀影响了图像分割的质量,本文研究图像照度不均匀的校正。讨论几种现有数字图像照度不均匀的校正技术,分析这些方法在计算误差上面的原因及缺点,在此基础上提出基于小波变换的数字图像照度不均匀校正技术。小波变换兼顾了空域和频域,对光照不均匀数字图像做校正,这对后期图像分割非常重要。图像对比实验表明,该方法与其他方法相比较,具有速度快,所得图像区分度高、背景噪声小的特点。

关 键 词:数字图像  图像分割  小波变换  照度不均匀

Application of Wavelet Transform in Illumination Uneven Elimination
ZHAO Su-na,AI Jiao-yan,LI Shi-xiao.Application of Wavelet Transform in Illumination Uneven Elimination[J].Computing Technology and Automation,2010,29(1):99-101,133.
Authors:ZHAO Su-na  AI Jiao-yan  LI Shi-xiao
Affiliation:(College of Electrical Engneering, Guangxi University, Nanning 530004, China)
Abstract:The uneven illumination in digital image is influence for the quality of image segment. This paper research the techniques for the correction of unevenness of illumination , and the base on its algorithmic error. A new method for the cor- rection of unevenness elimination technique based on wavelet transference is proposed. The wavelet transference giving both attention ont only frequency domain but also space domain of the image, modifying the unevenness of illumination of image and this is important for the image segment. Compared with the traditional method ,this method can enhance illuminated image clearly with faster speed and less background noise.
Keywords:digital image  image segment  wavelet transferencei illumination uneven elimination
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