Image Retrieval and Classification Techniques

This paper develops a hybrid algorithm for 2D shape similarity that outperforms geometric and feature-based methods by combining global and local features without requiring training data.

The paper evaluates image analysis methods for classifying Javanese butterflies and slipper orchids, finding that BGR-SURF achieved the best accuracy for butterflies while the original BGR method was best for orchids.