Paper Title:
Research on Feature Extraction of Wheat Leaf Disease Image
  Abstract

In order to resolve the problem of not taking into account color, texture and shape features in crop disease intelligent recognition systems, feature extraction method based on three feature types was proposed. Two types of color spaces such as RGB and HIS were considered, and the transformation formula of the two color spaces was improved. Then ten color features were defined and extracted. Meanwhile sixteen texture features were defined and extracted based on gray level co-occurrence matrix. And thirteen shape features were defined and extracted based on invariant moment theory. Finally the feature dataset was received which was suitable for identifying four types of wheat leaf diseases. The results show that the system recognition rate is relatively high, and can meet the practical application requirements.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Measure Control Technologies and Intelligent Systems
Edited by
Xin Chen
Pages
1326-1329
DOI
10.4028/www.scientific.net/AMR.317-319.1326
Citation
Z. H. Diao, Y. Y. Wu, "Research on Feature Extraction of Wheat Leaf Disease Image", Advanced Materials Research, Vols. 317-319, pp. 1326-1329, 2011
Online since
August 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dao De Zhang, Xin Yu Hu, Yu Rong Pan, Guang You Yang
Abstract:To segment the pebrine from the background effectively, this paper focuses on the research of image segmentation technology on the basis of...
2019
Authors: Qiu Chun Jin, Xiao Li Tong
Chapter 4: Materials Processing Technology
Abstract:Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image. A novel color...
650
Authors: Shan Lu
Chapter 12: Pattern Recognition Technology
Abstract:This article mainly introduces the face recognition technology in its development,the present situation and common applications, and also...
2651
Authors: Abdul Kadir, K.A.A. Aziz, Irianto
Chapter 3: Design for Automation and Intelligent Systems
Abstract:This paper reports a new approach for recognizing objects by using combination of texture, color and shape features. Texture features were...
111