基于区域亮度自适应校正算法的脐橙表面缺陷检测

张明,王腾,李鹏,邓烈,郑永强,易时来,吕强,孙荣荣

Surface Defect Detection of Navel Orange Based on Region Adaptive Brightness Correction Algorithm

ZHANG Ming,WANG Teng,LI Peng,DENG Lie,ZHENG YongQiang,YI ShiLai,LÜ Qiang,SUN RongRong

表1 基于区域亮度自适应校正算法脐橙表面缺陷检测结果

Table 1 Detection result of navel orange surface defect based on region brightness adaptive correction

表皮类型 Epidermis type 样本数 Number of samples 正确识别样本数 Number of correctly recognized samples 误判样本数 Number of misjudged samples 准确率 Detection rate (%) 误判率 False rate (%) 正常果Normal fruit 64 59 5 92.2 7.8 溃疡病果Canker spot 29 29 0 100.0 0.0 蓟马虫果Thrips scarring 44 42 2 95.5 4.5 介壳虫果Scale infestation 37 36 1 97.3 2.7 虫伤果Insect injury 38 36 2 94.7 5.3 黑星病果Blackspot fruit 35 34 1 97.1 2.9 风伤果Wind scarring fruit 61 57 4 93.4 6.6 炭疽病果Anthracnose fruit 26 26 0 100.0 0.0 裂伤果Dehiscent fruit 22 22 0 100.0 0.0 合计Total 356 341 15 95.8 4.2