Color Transform Based Approach for Disease Spot Detection on Plant Leaf

In this research, an algorithm for disease spot segmentation using image processing techniques in plant leaf is implemented. This is the first and important phase for automatic detection and classification of plant diseases. Disease spots are different in color but not in intensity, in comparison with plant leaf color. So we color transform of RGB image can be used for better segmentation of disease spots. In this paper a comparison of the effect of CIELAB, HSI and YCbCr color space in the process of disease spot detection is done. Median filter is used for image smoothing. Finally threshold can be calculated by applying Otsu method on color component to detect the disease spot. An algorithm which is independent of background noise, plant type and disease spot color was developed and experiments were carried out on different "Monocot" and "Dicot" family plant leaves with both, noise free (white) and noisy background.

[1]  Su Hang,et al.  A Research of Maize Disease Image Recognition of Corn Based on BP Networks , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[2]  Stefan Winkler,et al.  Color Space Conversions , 2013 .

[3]  Malik Braik,et al.  Fast and Accurate Detection and Classification of Plant Diseases , 2011 .

[4]  Li Miao,et al.  A Study on the Method of Image Pre-processing for Recognition of Crop Diseases , 2009, 2009 International Conference on Advanced Computer Control.

[5]  Di Cui,et al.  Image processing methods for quantitatively detecting soybean rust from multispectral images , 2010 .

[6]  Salwani Abdullah,et al.  Investigation on Image Processing Techniques for Diagnosing Paddy Diseases , 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

[7]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[8]  Libo Liu,et al.  Extraction of the Rice Leaf Disease Image Based on BP Neural Network , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[9]  J. Sil,et al.  Rice disease identification using pattern recognition techniques , 2008, 2008 11th International Conference on Computer and Information Technology.

[10]  Shen Weizheng,et al.  Grading Method of Leaf Spot Disease Based on Image Processing , 2008, 2008 International Conference on Computer Science and Software Engineering.