How High is a Peak? The watershed algorithm

Mountain peaks, river basins, watersheds, and image segmentation, oh my! The watershed algorithm:
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How far is it from everywhere to somewhere?

How far is it from everywhere to somewhere?  How would you compute the answer?

Prepared for #SoME1
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Connected Components 1 - The naïve approach

Getting started on connected-components segmentation, starting from assuming very little in the way of prior knowledge:

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Fast Discrete Radon Transformation

I didn't think this one would take as long as it did to produce, but I didn't think the explanation would demand as long a video as it did. 

Finding straight lines with the Fast Discrete Radon Transformation.

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The card reader and the Hough transform

We use the Hough Transform to find the straight lines in the image and finish getting the bits from the punched card.
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Image preparation for the card reader

Ths stuff in this video is the “bread and butter&drquo; of image processing. Experienced computer visionaries will have heard it all before.
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Image analysis and the Organ, part 1: Intro to k-means segmentation

New thread: using a document scanner to read an old stack of IBM cards. (Re-do of a ten-year-old project, but with videos discussing the algorithms.)

This week: introduction to k-means segmentation.

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