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 :
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