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Grading Method of Potted Anthurium Based on RGB-D Features.
- Source :
-
Mathematical Problems in Engineering . 9/14/2021, p1-8. 8p. - Publication Year :
- 2021
-
Abstract
- A grading method of potted Anthurium based on machine vision is proposed. A detection system is designed to acquire color images and depth images of potted Anthurium, and the three-dimensional point-cloud image is reconstructed after registration. According to the testing requirements of potted Anthurium, the minimum enclosing rectangle method is used to measure the width of crowns and spathes. The bubble sequencing method is used to measure the plant height, and the clustering segmentation method is used to calculate the number of spathes. Online automatic grading software for potted Anthurium is developed. Compared with manual measurement, the average measurement accuracies of machine vision for crown width, plant height, spathe width, and spathe number are 98.4%, 98.4%, 98.8%, and 86.7%, respectively. The accuracy rate of grading is 85.86%, which can meet the requirements of automatic grading of potted Anthurium. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COMPUTER vision
*THREE-dimensional imaging
*IMAGE registration
*COLOR in design
Subjects
Details
- Language :
- English
- ISSN :
- 1024123X
- Database :
- Academic Search Index
- Journal :
- Mathematical Problems in Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 152442321
- Full Text :
- https://doi.org/10.1155/2021/8555280