Plant Diseases Recognition Based on Image Processing Technology

Joint Authors

Sun, Guiling
Jia, Xinglong
Geng, Tianyu

Source

Journal of Electrical and Computer Engineering

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-05-21

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1184514