[1]丁毅,李玉惠,李勃. 基于图像不同亮度区域特征的Gamma矫正方法[J].计算机技术与发展,2016,26(06):37-39.
　DING Yi,LI Yu-hui,LI Bo. Gamma Correction Based on Different Brightness Regional Features for Images[J].,2016,26(06):37-39.
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 基于图像不同亮度区域特征的Gamma矫正方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年06期
页码:
37-39
栏目:
智能、算法、系统工程
出版日期:
2016-06-10

文章信息/Info

Title:
 Gamma Correction Based on Different Brightness Regional Features for Images
文章编号:
1673-629X（2016)06-0037-03
作者:
 丁毅; 李玉惠; 李勃
 昆明理工大学 信息工程与自动化学院
Author(s):
 DING Yi; LI Yu-hui; LI Bo
关键词:
 ; 图像处理; 类余切Gamma矫正函数; 椭圆非线性矫正模型; 亮度不均; 图像分割
Keywords:
 ; image processing; classing cotangent Gamma correction function; elliptical nonlinear correction model; uneven brightness; im-age segmentation
分类号:
TP391.41
文献标志码:
A
摘要:
 在图像处理领域中，图像亮度不均会大大降低图像分割的正确性。为了有效弱化图像亮度不均对图像分割带来的影响，对处理图像亮度不均具有优势的Gamma矫正方法及各种改进方法进行了对比分析。针对现有Gamma矫正方法对图像高光区矫正效果的不佳，文中提出了类余切Gamma矫正函数和椭圆非线性矫正模型。实验结果表明，按图像像素值对图像分区，该方法不仅保持了现有Gamma矫正方法对阴影区和过渡区亮度处理的效果，而且缩小了图像高光区的像素取值范围，提高了对图像高光区矫正的效果，有效降低了整幅图像亮度的比例，在一定程度上使图像亮度分布更加均匀。同时，该方法具有较好的普适性，在处理其他亮度比例较大的图像时，该方法可以较好地均衡图像亮度的分布，在某些特殊场景下会大大提高图像分割的正确性和准确率。
Abstract:
 Uneven brightness can reduce greatly the correctness of image segmentation in image processing. In order to effectively weaken the influence on the image segmentation which brought by uneven brightness,in this paper,a variety of methods of Gamma correction and improved ones are compared and analyzed. In view of the bad effect on correcting image highlights district by using the existing Gamma correction methods,the class cotangent Gamma correction function and elliptical nonlinear correction model are proposed. The experiment shows that on the basis of maintaining the effect on luminance processing in the shadow area and the transition zone by the existing Gam-ma correction methods,this method narrows the pixel value range of the image highlights area,enhances the correction effect of the image highlights area,and reduces the proportion of the whole image brightness effectively,which makes the brightness distribution more uni-form to some extent. In dealing with a larger brightness proportion of image,this method,with good universality,can balance brightness distribution of the image well and greatly improve the segmentation correctness and accuracy of image in some special situations.

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更新日期/Last Update: 2016-09-20