Image analysis and the Organ, part 1: Intro to k-means segmentation
Channel: Kevin's Mathematical Musings
Date: 19/04/2021

Introduction to image segmentation (and data clustering) by the k-means method, using punched cards for a vintage electronic organ as a sample project.

Part 1: Introduction to the algorithm, and a few things that can go wrong with it.

00:00 Introduction
00:58 The organ and punched cards
03:33 Image analysis tasks
04:51 The k-means segmentation procedure
06:48 When k-means goes wrong
08:03 Next time - dealing with the problems in k-means

IMAGES

Phil Hollenback. “Computer History Museum - 119:
IBM 1402 Card Reader, which attached to 1401 mainframe.”
https://www.flickr.com/photos/phrenologist/3251701480
CC-BY-2.0 https://creativecommons.org/licenses/by/2.0/

Damian Gadal. “Knothole: Old Tree”
https://www.flickr.com/photos/23024164@N06/9353043471
CC-BY-2.0 https://creativecommons.org/licenses/by/2.0/

MUSIC

J.S. Bach, Prelude and Fugue No. 6 in A major, BWV 536
from Das Wohltempierte Klavier, Teil I.
Recorded by Evgeniy E. Moshkin, 3 August 2018 using
the Hauptwerk virtual pipe organ software with the
Freisach sample set.
https://imslp.org/wiki/File:PMLP111692-bwv536.ogg
CC-BY-NC-SA 4.0
https://creativecommons.org/licenses/by-nc-sa/4.0/

© 2021 Kevin B. Kenny
CC-SA-NC 4.0
https://creativecommons.org/licenses/by-nc-sa/4.0/