ASPARAGUS DEFECT INSPECTION WITH MACHINE VISION

被引：0
|
作者：
RIGNEY, MP
BRUSEWITZ, GH
KRANZLER, GA
机构：
来源：
TRANSACTIONS OF THE ASAE | 1992年 / 35卷 / 06期
关键词：
ASPARAGUS; INSPECTION; MACHINE VISION;
D O I：
暂无
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
Mechanizing the harvest and grading of fresh market asparagus while maintaining quality presents a major challenge. Image processing algorithms were tested for detecting asparagus defects. Spreading tips were correctly identified with an 8% error rate, broken tips were detected with a 25% error rate, and scarred or cracked spears were detected with a 42% error rate using multivariate discriminant functions.
引用
收藏
页码：1873 / 1878
页数：6
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