DETECTION OF DISEASED LEAF USING IMAGE PROCESSING TECHNIQUE
| Author(s) | : | J.HEMA DEVI, M.MERCY THERESA, D.OVIYA |
| Institution | : | Asst.Prof, Department, Of Electronics and Communication Engineering |
| Published In | : | Vol. 4, Issue 4 — April 2017 |
| Page No. | : | 1-6 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Nowadays crops are damaged due to many types of diseases. Plant diseases have turned into a dilemma as itcan cause significant reduction in both quality and quantity of agricultural products. The developed scheme consists offour steps likely, to create a colour transformation structure for the input RGB image followed by masking of greenpixels and its removal using threshold value which is then followed by segmentation process. The segmentation processis achieved by Mumford shah algorithm. The feature extraction is achieved by (scale invariant feature transform) SIFTalgorithm. Finally the extracted features are passed to the classifier using (Artificial neural network) ANN algorithm.Classifier using ANN algorithm is developed to classify the leaf according to their growth and colour change. Thus theclassifier is used for classifying the disease. This technique is a solution for automatic detection of leaf diseases usinggrowth, size and colour change
J.HEMA DEVI, M.MERCY THERESA, D.OVIYA, “DETECTION OF DISEASED LEAF USING IMAGE PROCESSING TECHNIQUE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 1-6, April 2017.
