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http://hdl.handle.net/123456789/7305
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| Title: | Color recognition algorithm using a neural network model in determining the ripeness of a Banana |
| Authors: | Paulraj, Murugesapandian
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi |
| E-mail: | paul@unimap.edu.my |
| Keywords: | Color recognition
Neural network
RGB
Histogram
Ripeness of Banana
Neural networks (Computer science)
Image processing |
| Issue Date: | 11-Oct-2009 |
| Publisher: | Universiti Malaysia Perlis |
| Citation: | p.2B7 1 - 2B7 4 |
| Series/Report no.: | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) |
| Abstract: | This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the
banana is resized and its RGB color components are extracted. The color components of the resized images are rescaled using a simple heuristic method. Further, a histogram for the rescaled
image is obtained and used as a feature vector to identify the ripeness of the banana. A simple graphical user interface system is developed in MATLAB that classifies the ripeness of the banana. The proposed model has an accuracy of 96%. |
| Description: | Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. |
| URI: | http://hdl.handle.net/123456789/7305 |
| Appears in Collections: | Conference Papers
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