DocumentCode
1667392
Title
Image analysis method for grading raw shiitake mushrooms
Author
Hazisawa, T. ; Toda, Masayoshi ; Sakoil, T. ; Matumural, K. ; Fukuda, Motohisa
Author_Institution
Grad. Sch. of Syst. Inf. Sci., Future Univ. Hakodate, Hakodate, Japan
fYear
2013
Firstpage
46
Lastpage
52
Abstract
This paper presents the image analysis method for raw shiitake mushroom from image to shiitake grading to develop an automated system for grading a raw shiitake. Analysis pieces are the size of mushroom and the level of opening cap. Proposed method calculates the size of shiitake by using area sum of shiitake area and the rate of lamella area. To extract lamella area in image, proposed method uses the direction of gradient vector. The gradient vectors in lamella tend to be perpendicular in the vectors from the center of shiitake area. The test raw shiitake images which are categorized into 6 the level of opening cap classes and 4 size classes.
Keywords
agriculture; gradient methods; image processing; agriculture; area sum; automated system; gradient vectors; grading raw shiitake mushrooms; image analysis method; lamella area; opening cap classes; shiitake area; size classes; Cameras; Computer vision; Conferences; Image color analysis; Joints; Testing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location
Incheon
Print_ISBN
978-1-4673-5620-6
Type
conf
DOI
10.1109/FCV.2013.6485458
Filename
6485458
Link To Document