Plant Diseases Recognition Based on Image Processing Technology

المؤلفون المشاركون

Sun, Guiling
Jia, Xinglong
Geng, Tianyu

المصدر

Journal of Electrical and Computer Engineering

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-05-21

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

A new image recognition system based on multiple linear regression is proposed.

Particularly, there are a number of innovations in image segmentation and recognition system.

In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is proposed.

Meanwhile, the regional growth method and true color image processing are combined with this system to improve the accuracy and intelligence.

While creating the recognition system, multiple linear regression and image feature extraction are utilized.

After evaluating the results of different image training libraries, the system is proved to have effective image recognition ability, high precision, and reliability.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Sun, Guiling& Jia, Xinglong& Geng, Tianyu. 2018. Plant Diseases Recognition Based on Image Processing Technology. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1184514

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Sun, Guiling…[et al.]. Plant Diseases Recognition Based on Image Processing Technology. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1184514

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Sun, Guiling& Jia, Xinglong& Geng, Tianyu. Plant Diseases Recognition Based on Image Processing Technology. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1184514

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1184514