Preprocessing and filtering

Estimated time: 120 minutes

Overview

Questions

• Question 1

Objectives

• Apply histogram normalization and equalization to facilitate downstream image segmentation
• Choose when normalization and equalization is appropriate (batch normalization of intensities)
• Explain the concept of a filter and its effects on the image data (theoretical explanation of kernels)
• Define the concept of noise and background in images
• Apply techniques like gaussian, mean or median filtering to remove noise from an image
• Use edge filter (or DoG/LoG filter) to highlight object edges (or spots) in an image

This is a new episode that didn’t exist in the original curriculum

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It could take content both from 05-creating-histograms.md and 06-blurring.md.