Qinghai He
Shihezi University

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Cotton Pests and Diseases Detection Based on Image Processing Qinghai He; Benxue Ma; Duanyang Qu; Qiang Zhang; Xinmin Hou; Jing Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Extract the damaged image form the cotton image in order to measure the damage ratio of the cotton leaf which caused by the diseases or pests. Several algorithms like image enhancement, image filtering which suit for cotton leaf processing were explored in this paper. Three different color models for extracting the damaged image from cotton leaf images were implemented, namely RGB color model, HSI color model, and YCbCr color model. The ratio of damage (γ) was chosen as feature to measure  the degree of damage which caused by diseases or pests. This paper also shows the comparison of the results obtained by the implementing in different color models, the comparison of results shows good accuracy in both color models and YCbCr color space is considered as the best color model for extracting the damaged image. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2721