Skip to Main content Skip to Navigation
Conference papers

Research on Color and Shape Recognition of Maize Diseases Based on HSV and OTSU Method

Abstract : With the application of IOT technology in maize disease images for monitoring and collecting, timely detection of the types and characteristics of identification of disease has become a hot research in the diagnosis and treatment of diseases and insect pests. In order to improve the recognition accuracy of maize leaf, achieve rapid diagnostic purposes, this paper takes the leaf spot of maize gray leaf spot and image as the research object, use the computer image processing technology is studied on the effective segmentation and recognition of color and shape features. The genetic algorithm was adopted to optimize the selection of maize disease images real-time filtering; $$ 3 * 3 $$ mode noise suppression of the image selected by value smoothing; then select the HSV component of the color feature extraction of the disease; the maximum between class variance (OTSU) disease shape character segmentation and recognition. The results show that, based on genetic algorithm optimization based on image In HSV and Otsu method can be more accurate segmentation and recognition of the disease of color and shape features, and enhance the real-time and accuracy of the image of maize disease detection and recognition and oriented under the condition of things plant diseases and insect pests of maize and provide technical support.
Document type :
Conference papers
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/hal-02179991
Contributor : Hal Ifip <>
Submitted on : Friday, July 12, 2019 - 11:43:54 AM
Last modification on : Thursday, November 28, 2019 - 10:26:28 AM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-07-12

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Guifen Chen, Ying Meng, Jian Lu, Dongxue Wang. Research on Color and Shape Recognition of Maize Diseases Based on HSV and OTSU Method. 10th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2016, Dongying, China. pp.298-309, ⟨10.1007/978-3-030-06155-5_30⟩. ⟨hal-02179991⟩

Share

Metrics

Record views

68