An Image Processing Based Fungus Detection System For Mangoes
Ananthi N1, Akshaya S2, Aarthi B3, Aishvarya J4, Kumaran K5
1Dr. Ananthi N*, Department of Information Technology, Easwari Engineering College, Chennai, India.
2Akshaya S, Department of Information Technology, Easwari Engineering College, Chennai, India.
3Aarthi B, Department of Information Technology, Easwari Engineering College, Chennai, India.
4Aishvarya J, Department of Information Technology, Easwari Engineering College, Chennai, India.
5Kumaran K, Department of Information Technology, Easwari Engineering College, Chennai, India.
Manuscript received on October 16, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 3493-3497 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5060119119/2019©BEIESP | DOI: 10.35940/ijitee.A50605.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fruits which grow with high yield in many states of India are rich in proteins. But due to addition of excess pesticides and chemicals intake of these fruits lead to serious health problems. It is necessary to identify the presence of chemical in the fruits before consuming it. In this project we have planned to develop an image processing technique to analyze whether the fruit is free from chemicals and fungus. In our paper, we have implemented MATLAB used as well as fungus present in the fruit. We capture the images of the fruit or we use datasets and train the database with different color-based changes that happen after adding chemicals to the fruit. The enhancement process is carried out in the captured image. Then image is segmented to hit the regions with affected spots in the fruit. K-means method is used to carry out the segmentation process. The input image is compared with the given data set for training to identify the images. In this way unhealthy fruits can be identified and the affected spots in the fruit can be detected.
Keywords: MATLAB; k-mean, Image Processing, Segmentation
Scope of the Article: Image Processing and Pattern Recognition