Open Access Open Access  Restricted Access Subscription or Fee Access

Intelligent Detection Methods of Fresh Corn Ear Maturity Based on Texture

Huihui Wang, Xueheng Tao, Xuejun Wang, Jixin Yang, Jinshi Cheng

Abstract


Partial image of fresh corn ear was collected by quality analysis detection system based on computer vision technology, and the texture information related to the ear maturity was extracted to complete maturity intelligent detection. Gray gradient co-occurrence matrix was set up by ear image after gray transformation. Then 15 texture features was extracted and reduced dimensions by the calculation of the correlation coefficient and principal component analysis. The first and the second principal component were used as inputs of probabilistic neural network, developed for intelligent detection of fresh corn ear maturity, with detection accuracy 88.89%.

Keywords


Computer vision, fresh corn ear, texture, principal component, neural networks.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.