# Synthesizing images using simple equations 6

Posted by **Steve Eddins**,

In 1988, Gerard Holzmann of AT&T Bell Labs (back when there was such a thing) published a fun book called Beyond Photography: The Digital Darkroom (http://tinyurl.com/b9rb9). The book shows how some simple math on pixel values and coordinates can transform images in fascinating ways.

In the first part of the book, Holzmann shows how to synthesize interesting images using functions of both Cartesian and polar coordinates. Let's see how to do that in MATLAB.

MATLAB functions featured: `meshgrid`, `cart2pol`

Image Processing Toolbox functions featured: `imshow`

## Contents

## Start with meshgrid

The MATLAB function `meshgrid` is extremely useful for computing a function of two Cartesian coordinates, and you can make some interesting images this
way.

`meshgrid` is kind of hard to explain in words. It's easier to just look at what it does.

x = 1:3; y = 10:14; [xx, yy] = meshgrid(x, y)

xx = 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 yy = 10 10 10 11 11 11 12 12 12 13 13 13 14 14 14

## Concentric rings

Let's make an image out of the equation:

x = linspace(-pi, pi, 201); % If you pass meshgrid only one vector, it uses that vector for both the x % and the y coordinates. [xx,yy] = meshgrid(x); A = 10; I = sin(A*(xx.^2 + yy.^2)); % Specify the range -1 to 1 when displaying the image. imshow(I, [-1 1])

## Using polar coordinates

If you want to construct an image from a function of polar coordinates, use `cart2pol` in conjunction with `meshgrid`.

(The interesting patterns you see in the center of the image below result from ''aliasing,'' but that's a topic for another day.)

[xx,yy] = meshgrid(-125:125); [theta,R] = cart2pol(xx,yy); I = sin(50*theta); imshow(I, [-1 1])

Get the MATLAB code

Published with MATLAB® 7.1

### Note

Comments are closed.

## 6 CommentsOldest to Newest

**1**of 6

**2**of 6

**3**of 6

**4**of 6

**5**of 6

**6**of 6

## Recent Comments