Object classification with basic computer vision techniques

Overview

naive-image-classification

Object classification with basic computer vision techniques.

Final assignment for the computer vision course I took at university. The task was to classify objects in a picture using any tools we learned during the course. I used histogram equalization, Otsu thresholding, image dilation and other morphological operators for preprocessing and OpenCV's connected component labelling function for classifying objects according to their Hu moments.

result

Code implementation for the paper 'Conditional Gaussian PAC-Bayes'.

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