Has an Image Classification Approach any Chance at all (in Plant Classification)?

somewhat. We extracted, partitioned and described con- tours, histogrammed their geometric parameters and concatenated the histograms to form a single image vector with which we classied the plant images using a Linear Discriminant Analysis (LDA); that is, no segmentation or saliency selection was performed. Despite the obvious simplicity of the LDA classication we reached the middle of the ranking for sheet-as-background images. While contour-based feature extraction is presently still a lone-some strategy in comparison to the prevailing gradient-based matching techniques (e.g. SIFT), it may soon be a viable alternative - once we developed appropriate classication methodology