נגישות
menu      
Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
Defect sorting of dry dates by image analysis
Year:
1993
Source of publication :
Canadian Agricultural Engineering
Authors :
Sarig, Yoav
;
.
Volume :
35
Co-Authors:
Wulfsohn, D., Univ of Saskatchewan, Saskatoon, Canada
Sarig, Y., Univ of Saskatchewan, Saskatoon, Canada
Algazi, R.V., Univ of Saskatchewan, Saskatoon, Canada
Facilitators :
From page:
133
To page:
139
(
Total pages:
7
)
Abstract:
Spectral characteristics were obtained for good quality and defective fruit of two dry date varieties, 'Majhul' and 'Zahidi'. An image processing algorithm was developed to sort good and defective fruit using simple thresholding operations. To eliminate the effects of varying system characteristics, defective data spectral characteristics were normalised based on an average 'good date' reference spectrum. Thresholding parameters were determined by integrating the normalized reflectance curves over the wavelength range in which defect/good date contrast was maximised. The reflectance data were also used to select optical filters to enhance the features of interest in the images. Preliminary results indicate that the method proposed offers a promising means of rapidly detecting defective fruit. Further research is needed to estimate sampling errors associated with the technique and to investigate real-time sorting speed.
Note:
Related Files :
Algorithms
Defects
Defect sorting
Dry dates
Fruits
image analysis
Image processing algorithms
quality control
Thresholding
Show More
Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
31223
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:00
You may also be interested in
Scientific Publication
Defect sorting of dry dates by image analysis
35
Wulfsohn, D., Univ of Saskatchewan, Saskatoon, Canada
Sarig, Y., Univ of Saskatchewan, Saskatoon, Canada
Algazi, R.V., Univ of Saskatchewan, Saskatoon, Canada
Defect sorting of dry dates by image analysis
Spectral characteristics were obtained for good quality and defective fruit of two dry date varieties, 'Majhul' and 'Zahidi'. An image processing algorithm was developed to sort good and defective fruit using simple thresholding operations. To eliminate the effects of varying system characteristics, defective data spectral characteristics were normalised based on an average 'good date' reference spectrum. Thresholding parameters were determined by integrating the normalized reflectance curves over the wavelength range in which defect/good date contrast was maximised. The reflectance data were also used to select optical filters to enhance the features of interest in the images. Preliminary results indicate that the method proposed offers a promising means of rapidly detecting defective fruit. Further research is needed to estimate sampling errors associated with the technique and to investigate real-time sorting speed.
Scientific Publication
You may also be interested in