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Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB

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Steve on Image Processing with MATLAB has been archived and will not be updated.

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Locating the US continental divide, part 6 – Final computation and visualization 6

Today's post in my continental divide series demonstrates the final computational step and shows one procedure for visualizing the Pacific and Atlantic catchment basins. In my previous... read more >>

Learning Lessons from a One-Liner 7

My colleague Greg Wilson, creator of the course Software Carpentry, proposed a couple of programming problems as prerequisites for the course. The idea is that if you can solve the problems... read more >>

Locating the US continental divide, part 5 – Minima imposition

Today, in part 5 of my series on computing the US continental divide, we'll look at a technique called minima imposition. Previously we looked at data import and display, the watershed transform... read more >>

Locating the US continental divide, part 4 – Ocean masks

Welcome to part 4 of my series on computing the US continental divide. Previously we looked at data import and display, the watershed transform and label matrices, and different kinds of... read more >>

Locating the US continental divide, part 3 – Regional minima

In the previous post in this series on computing the US continental divide, we used the watershed function to find catchment basins in a DEM (digital elevation model). The result was more than... read more >>

Locating the US continental divide, part 2 – Watershed transform 1

This post is the second in my series on computing the location of the US continental divide. Today I'm going to look at the watershed transform, including how to compute and visualize it... read more >>

Locating the US continental divide, part 1 – Introduction 23

Today I'm introducing a series on computing the location of the US continental divide. (I was inspired to tackle this topic by Brian Hayes' blog post on the divide; thanks very much to... read more >>

Counting occurrences of image colors 9

Blog reader André recently asked me how to count the number of times each color appears in an image. One short solution involves optional output arguments from the function... read more >>

Finding bright objects 7

In a blog comment earlier this summer, someone asked how to find "which labeled regions have a bright spot greater than some threshold?" That's a good question. It can be done efficiently... read more >>

Upslope area – vectorizing pixel flow calculations 2

At the beginning of the upslope area series, I posted code showing how to compute the direction of maximum slope for a triangular facet, and how to compute the flow direction for a pixel. This... read more >>

Posts 31 - 40 of 47