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Received:June 10, 2014 Revised:July 07, 2014
Received:June 10, 2014 Revised:July 07, 2014
中文摘要: 针对传统的灰度校正算法在对亮度不均匀的路面裂缝图像处理时容易造成边缘模糊, 局部对比度得不到增强的问题, 本文在传统的快速灰度校正算法基础上, 提出了一种改变初始背景图像选取方式以及采取局部对比度增强图像和整体灰度校正图像相互融合的改进型灰度校正算法. 实验结果表明, 与传统方法相比, 改进后的算法对路面裂缝类图像的预处理效果明显增强.
Abstract:In view of the traditional gray correction algorithm in the brightness uneven pavement crack image processing easily blurred edges, local contrast is not enhanced. This paper proposed a change the initial background image to select and adopt the local contrast enhancement of image and gray correction improved gray level image fusion algorithm based on fast gray traditional correction algorithms. The experimental results show that compared with the traditional method, the effect of pretreatment improved algorithm for pavement crack image is enhanced.
文章编号： 中图分类号： 文献标志码：
基金项目:湖南省教育厅科学研究项目(13C380)
| Author Name | Affiliation |
| WEN Li | Hunan Vocational Institute of Technology, Xiangtan 411104, China |
| Author Name | Affiliation |
| WEN Li | Hunan Vocational Institute of Technology, Xiangtan 411104, China |
引用文本：
文立.改进的灰度校正算法在路面裂缝图像预处理中应用.计算机系统应用,2015,24(2):220-223
WEN Li.Improved Gray Correction Algorithm for Image Preprocessing Pavement Cracks.COMPUTER SYSTEMS APPLICATIONS,2015,24(2):220-223
文立.改进的灰度校正算法在路面裂缝图像预处理中应用.计算机系统应用,2015,24(2):220-223
WEN Li.Improved Gray Correction Algorithm for Image Preprocessing Pavement Cracks.COMPUTER SYSTEMS APPLICATIONS,2015,24(2):220-223
