Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases

Authors

  • Basim K.M.A Al-Windi Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq.
  • Amel H. Abbas Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq.
  • Mohammed Shakir Mahmood Ministry of Higher Education and Scientific Research, Scholarships and Cultural Relations Directorate, Baghdad, IRAQ.

DOI:

https://doi.org/10.23851/mjs.v32i5.1115

Keywords:

GLCM, Texture Analyses, HSV (Hue Saturation Value), Statistical Classification

Abstract

The proposed method is based on classifying 15 types of plant leaf disease. Hue saturation value was used to delete the background and the healthy areas to show only the affected area in the image. Texture analyses adopted in image features extractions from the R component &G component &B component and creating 3 components which are RG and RB and GB color of the RGB color space images of diseased leaves. Building image classifier using statistical method for classification.

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References

S. Bharath, K.V. Kumar, R. Pavithran, and T. Malathi, "Detection of Plant Leaf Diseases using CNN", International Research Journal of Engineering and Technology (IRJET), 4Computer Science and Engineering, SRM Institute of Science and Technology, Chennai. India, 2020.

D. Pixia, W. Xiangdong, "Recognition of Greenhouse Cucumber Disease Based on Image processing Technology", Open Journal of Applied Sciences, vol. 3, pp.27-3, Mar. 2013.

CrossRef

P. Pawer, V. Tukar, Parvinpatil, "Cucumber Disease detection using artificial neural network", International Conference on Inventive Computation Technologies (ICICT) 2016.

CrossRef

M. Bhange and H. A. Hingoliwala, "Smart Farming: Pomegranate Disease Detection Using Image Processing", proc. of the Second International Symposium on Computer Vision and the Internet (VisionNet'15), pp. 280-286, 2015.

CrossRef

A. Awate, D. Deshmankar, G. Amrutkar, U. Bagul and S. Sonavane, "Fruit Disease Detection using Color Texture Analysis and ANN", proc. of International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 970-975, 2015.

CrossRef

V. S. Tutygin, B. K. M. Ali Al-Windi, "A system of classification of texture images based on fuzzy logic", Modern science: topical problems of theory and practice. Series Natural and Technical Sciences. No. 3, 2019.

K.-Man Xu, "Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms", Monthly Weather Review, 134(5), 1442-1453. doi:10.1175/mwr3133.1 2006

CrossRef

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Key Dates

Published

15-12-2021

How to Cite

[1]
B. K. Al-Windi, A. H. Abbas, and M. S. Mahmood, “Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases”, Al-Mustansiriyah Journal of Science, vol. 32, no. 5, pp. 1–4, Dec. 2021, doi: 10.23851/mjs.v32i5.1115.

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