基于区域亮度自适应校正算法的脐橙表面缺陷检测
张明1,2,王腾2,李鹏2,邓烈2,郑永强2,易时来2,吕强2(
),孙荣荣2()
),孙荣荣2()
Surface Defect Detection of Navel Orange Based on Region Adaptive Brightness Correction Algorithm
ZHANG Ming1,2,WANG Teng2,LI Peng2,DENG Lie2,ZHENG YongQiang2,YI ShiLai2,LÜ Qiang2(),SUN RongRong2()
),SUN RongRong2()
图3. 不同脐橙表面缺陷处理结果
原始RGB图像（第1、5行）,R-B差值分量图像（第2、6行）,亮度校正图像（第3、7行）,缺陷图像（第4、8行）
Fig. 3. Processing results of different navel oranges surface defects
Original RGB images (1st and 5th rows), R-B difference component image (2nd and 6th), brightness corrected images (3rd and 7th rows), and defect region images (4th and 8th rows)
