Species

Automated classification of skippers based on parts representation

Image data can help to understand species evolution from a new perspective. In this paper, we propose a parts-based (patch-based) representation for biological images. Experimental results show this compact model as efficient and effective for representing and classifying skipper images. The results can be further improved by exploiting symmetry of the shape and increasing the quality of image segmentation.