A histogram modification unit for real-time image enhancement
Computer Vision, Graphics, and Image Processing
Image restoration and enhancement of characters, using convex projection methods
CVGIP: Graphical Models and Image Processing
2-D Shape Classification Using Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Plant Species by Leaf Shapes-A Case Study of the Acer Family
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Recognition of leaf images based on shape features using a hypersphere classifier
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Leaf recognition based on the combination of wavelet transform and gaussian interpolation
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
| Hi-index | 0.00 |
Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. Compared with other methods, such as cell and molecule biology methods, classification based on leaf image is the first choice for plant classification. Plant recognition and classification is a complex and difficult problem, and is very important in Computer-Aided Plant Species Identification technology. The feature extraction is a key step to plant classification. This paper presents a method to extract discriminant features for plant leaf images by using supervised Isomap. Experiments on the leaf image dataset have been performed. Experimental results show that the supervised Isomap is very effective and feasible.