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A Novel Shape based Descriptor for Plant Identification
| Content Provider | CiteSeerX |
|---|---|
| Author | Asrani, Komal Jain, Renu |
| Abstract | Content based image retrieval is one of the most challenging field in which widespread research is been carried out. In this paper, a modified and effective shape based leaf image retrieval system is presented for leaf identification. The method proposed is an extension of centroid distance method. The major drawbacks of the centroid distance approach are identified and resolved in our proposed approach. This approach, called Quad Centroid Distance Variation (QCDV) uses the concept of shape based image retrieval approach. Four values are computed and used as the feature vectors. The proposed approach effectively manages the size of the feature vectors, is computationally simple and affine invariant. Experiments were conducted on Swedish Leaf Image Database (SLID). The results justify the superior performance of the method even though the feature vector representing the image is very small. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Novel Shape Feature Vector Plant Identification Image Retrieval Widespread Research Affine Invariant Superior Performance Centroid Distance Method Centroid Distance Approach Challenging Field Major Drawback Image Retrieval Approach Leaf Identification Leaf Image Retrieval System Effective Shape Swedish Leaf Image Database Quad Centroid Distance Variation |
| Content Type | Text |
