Research of Real-Time Algorithm for Chestnut´s Size Based on Computer Vision

Author

Zhang, Zhiqiang ; Niu, Zhiyou ; Yu, Jiajia ; Guo, Chuanzhen

Author_Institution

Coll. of Eng., Huazhong Agric. Univ., Wuhan, China

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

A grading system was developed to classify chestnut automatically into various grades of quality in terms of size. The chestnut is scanned with a color charge-coupled-device camera and then the size is extracted by image processing. In the image processing there are two kinds of algorithm, one is the minimum enclosing rectangle (MER), and the other is the distance between centroid and border (DCB). The algorithm finds out the chestnut´s major axis and minor axis which are used to predict the size of the chestnut. By regression analysis, it´s found that the relative error of the MER is 0.7465%, and the relative error of the DBCB is 1.83%. The MER is better to predict the chestnut´s size than the DCB.

Keywords

CCD image sensors; agriculture; computer vision; crops; feature extraction; image classification; regression analysis; centroid-border distance; chestnut grading system; chestnut size classification; color charge-coupled-device camera; computer vision; image processing; minimum enclosing rectangle; regression analysis; Agriculture; Correlation; Image color analysis; Machine vision; Pixel; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5391-7

Electronic_ISBN

978-1-4244-5392-4

Type

conf

DOI

10.1109/CISE.2010.5677220

Filename

5677220