The Comparative Analysis of The Filtering Schemes In Crop Disease Detection

Authors(2) :-Sampathkumar S, Rajeswari R

The rice plants are affected by various rice diseases such as rice impression, Bacterial scourge, Black kernel, Brown spot, Leaf smut, Seeding blight in different growth stages of the rice crops. The emerging trend in the agriculture is Computer Aided Detection (CAD) based on the digital imaging of the rice crops provides the detailed analysis about the crop disease by applying the image mining process. In order to detect the crop disease, CAD system applies the image segmentation and image mining process by acquiring the image of the crop during the transplantation stage. The captured image is applied for the noise removal and segmentation process to characterize the domain of interest from the crop image. The noise removal process is applied by using the Cross Central Filter which combines the features of Gaussian filter and Hybrid Median Filter operations. Core Fuzzy C-Means algorithm is applied to Image segmentation process for the object division. The Cross Central Filter produces the least Mean Square Error approximation value as of 4.71 and eminent Peak Signal to Noise Ratio value as 62.615 dB. Core Fuzzy C-Means achieves precision value as 95% and specificity as 96% values.

Authors and Affiliations

Sampathkumar S
Assistant Professor, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India
Rajeswari R
Assistant Professor (Senior Grade), Department of Electrical and Electronics Engineering, Government college of Technology, Coimbatore, India

Computer Aided Detection (CAD), Cross Central Filter, Core Fuzzy C-Means algorithm, CFCM, FCM

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Publication Details

Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 403-411
Manuscript Number : IJSRST184897
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sampathkumar S, Rajeswari R, " The Comparative Analysis of The Filtering Schemes In Crop Disease Detection", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 7, pp.403-411, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST184897

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