BasicImageProcessingPython
Libraries are NumPy, CV2, Glob, SKLearn, and SKImage.
There is a small image dataset of 60 samples from home objects in three classes.
Actions are dataset batch reading, converting to gray level, image resizing, histogram equalization, canny edge detection, extracting SIFT features, extracting HOG features, feature fusion, labeling for classification, and classification with KNN, LR, Tree, and Naive Bayes for train and test splits (80 % to 20 %).
