This workflow allows to classify a single object in an image using a set of user-provided templates each corresponding to a class for the classification. The classication relies on template matching (pixel-comparison), ie the algorithm first find the object in the image and then classify it. The result of localisation is not returned in this implementation. Each image will be classified as either containing an object corresponding to one of the template, or as an outlier. NB : Currently this implementation is designed for image with a single object in the image to classify Requires a python3 environment with : - Multi-Template-Matching 1.4 - Matplotlib
Used extensions & nodes
Created with KNIME Analytics Platform version 4.2.2
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