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

页码：1873 / 1878

页数：6

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