Recognition of leaf based on its tip and base using Centroid Contour Gradient
This paper suggests normalization of the tip and base of leaf as both of them incline to one direction which is able to influence data extraction process. The extraction method we used is Centroid Contour Gradient (CCG) which calculates the gradient between pairs of boundary points corresponding to interval angle. CCG had outperformed its competitor which is Centroid Contour Distance (CCD), as it successfully captures the curvature of the tip and base of leaf. The accuracy in classifying the tip of leaf using CCG is 99.47%, but CCD is only 80.30%. For accuracy of leaf base classification, CCG (98%) also outperforms CCD (88%). The average accuracy for recognizing the 5 classes of plant is 96.6% for CCG and 74.4% for CCD. In this research, we utilized the Feed-forward Back-propagation as our classifier.
Keywords: Leaf Recognition, Centroid Contour Distance, Centroid Contour Gradient, Leaf Tip, Leaf Base.
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ABOUT THE AUTHORS
Mei Fern Bong
Mei Fern Bong obtained her B Comp. Sc. (Hons) in Graphic and Multimedia in 2012 from Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia. Currently, she pursues her Ph.D. degree in the same university. Her current research interests are image processing, computer vision and object recognition.
Ghazali Bin Sulong
Ghazali Bin Sulong received his BSc degree in statistic from National University of Malaysia, in 1979, and MSc and PhD in computing from University of Wales, Cardiff, United Kingdom, in 1982 and 1989, respectively. He is currently professor at Faculty of Computing, Universiti Teknologi Malaysia. His research interest includes Biometric - fingerprint identification, face recognition, iris verification, ear recognition, handwritten recognition, and writer identification; object recognition; image enhancement and restoration; medical imaging; human activities recognition; data hiding - digital watermarking, steganography and image encryption; image fusion; image mining; object detection, segmentation and tracking.
Mohd Shafry Bin Mohd Rahim
Mohd Shafry bin Mohd Rahim is an Associate Professor of Computer Graphic and Image Processing at Universiti Technologi Malaysia. He received his B. Sc. (Hons.) in Computer Science (1999) and his MSc. in Computer Science (2002) from Universiti Teknologi Malaysia. Then, he obtained his Ph. D. in Spatial Modelling from Universiti Putra Malaysia at 2008. The rapid development in the field of Computer Graphics caused him eagerly want to share his acquired knowledge. To realize his desire, he has started his career as a lecturer at CITI College, Taiping, Perak in early 1999 and continued his work at Universiti Teknologi Malaysia. He was appointed as a Senior Lecturer at the age 32 years during his early involvement with UTM and as an Associate Professor 4 years later. Now, he focused his research together with his research group, UTM ViCube Lab under Faculty of Computing, UTM. He is expert in research area of computer graphic and image processing. His passionate with his research area make him published more than 70 papers for journals and conferences. Currently, he has appointed to be Deputy Director of Centre for Joint Programme, UTMSPACE. In addition, he experienced as ICIDM 2012 conference’s chair and has appointed as Chief Editor for International Journal in Interactive Digital Media.
Mei Fern Bong
Mei Fern Bong obtained her B Comp. Sc. (Hons) in Graphic and Multimedia in 2012 from Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia. Currently, she pursues her Ph.D. degree in the same university. Her current research interests are image processing, computer vision and object recognition.
Ghazali Bin Sulong
Ghazali Bin Sulong received his BSc degree in statistic from National University of Malaysia, in 1979, and MSc and PhD in computing from University of Wales, Cardiff, United Kingdom, in 1982 and 1989, respectively. He is currently professor at Faculty of Computing, Universiti Teknologi Malaysia. His research interest includes Biometric - fingerprint identification, face recognition, iris verification, ear recognition, handwritten recognition, and writer identification; object recognition; image enhancement and restoration; medical imaging; human activities recognition; data hiding - digital watermarking, steganography and image encryption; image fusion; image mining; object detection, segmentation and tracking.
Mohd Shafry Bin Mohd Rahim
Mohd Shafry bin Mohd Rahim is an Associate Professor of Computer Graphic and Image Processing at Universiti Technologi Malaysia. He received his B. Sc. (Hons.) in Computer Science (1999) and his MSc. in Computer Science (2002) from Universiti Teknologi Malaysia. Then, he obtained his Ph. D. in Spatial Modelling from Universiti Putra Malaysia at 2008. The rapid development in the field of Computer Graphics caused him eagerly want to share his acquired knowledge. To realize his desire, he has started his career as a lecturer at CITI College, Taiping, Perak in early 1999 and continued his work at Universiti Teknologi Malaysia. He was appointed as a Senior Lecturer at the age 32 years during his early involvement with UTM and as an Associate Professor 4 years later. Now, he focused his research together with his research group, UTM ViCube Lab under Faculty of Computing, UTM. He is expert in research area of computer graphic and image processing. His passionate with his research area make him published more than 70 papers for journals and conferences. Currently, he has appointed to be Deputy Director of Centre for Joint Programme, UTMSPACE. In addition, he experienced as ICIDM 2012 conference’s chair and has appointed as Chief Editor for International Journal in Interactive Digital Media.
