Chapter 10

Support code for Chapter 10: Pattern Recognition & Computer Vision

Data

This chapter relies on a publicly available dataset (which can be downloaded using the download.sh script inside the data/ directory) as well the dataset that is packaged with the repository at ../SimpleImageDataset/.

Running download.sh will retrieve the other dataset into a directory AnimTransDistr/.

Scripts

chapter.py: Code as written in the book.
thresholded_figure.py: Computes the thresholded figures, including after Gaussian blurring
lena-ring.py: Lena image with center in focus and blurred edges
figure10.py: Just paste two images next to each others
features.py: Contains the color histogram function from the book as well as a simple wrapper around mahotas.texture.haralick
simple_classification.py: Classify SimpleImageDataset with texture features + color histogram features
large_classification.py: Classify AnimTransDistr with both texture and SURF features.
neighbors.py: Computes image neighbors as well as the neighbor figure from the book.