摘要
为了提高光照不均匀航拍绝缘子图像的质量并保持良好的轮廓,提出了一种基于二维伽马函数自适应校正算法。从光照-反射成像模型出发,利用双边滤波算法提取出图像的光照信息;对二维伽马函数的图像亮度校正因子进行改进,实现对不同图像或同一图像的不同亮度区域的自适应校正处理。对不同场景和不同背景的航拍绝缘子图像的处理结果表明,本文算法可以更有效地提高图像处理质量,同时保持良好的轮廓信息。
In order to enhance the quality of non-uniform illumination aerial insulator images and keep the whole borderline, an adaptive correction algorithm based on 2 D Gamma function is proposed in this paper. The image illumination component is extracted by bilateral filtering based on illumination-reflection imaging model at first;and then the image illumination correction factor of 2 D Gamma function is improved to realize the adaptive correction of different images or the different illumination area of the same image. Results of the different scenes and the aerial insulator images with different background show that the proposed algorithm can enhance the images quality more effective and keep the whole borderline better at the same time.
作者
陈育群
陈颖频
刘美滟
CHEN Yu-qun;CHEN Ying-pin;LIU Mei-yan(School of Physics and Information Engineering,Minnan Normal University,Zhangzhou 363000,China;PEGATRON Technology(Shanghai)Co.,Ltd.,Shanghai 201315,China)
出处
《长春师范大学学报》
2022年第10期74-81,共8页
Journal of Changchun Normal University
基金
福建省自然科学基金项目“结构稀疏时频分析及其在油气勘探的应用”(2020J05169)。
关键词
图像增强
光照不均匀
双边滤波
二维伽马函数
自适应校正
image enhancement
non-uniform illumination
bilateral filtering
two-dimensional Gamma function
adaptive correction
