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<div class="title">IMAGE Image Display Function </div> </div>
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<div class="textblock"><p>Section: <a class="el" href="sec_handle.html">Handle-Based Graphics</a> </p>
<h1><a class="anchor" id="Usage"></a>
Usage</h1>
<p>The <code>image</code> command has the following general syntax </p>
<pre class="fragment"> handle = image(x,y,C,properties...)
</pre><p> where <code>x</code> is a two vector containing the <code>x</code> coordinates of the first and last pixels along a column, and <code>y</code> is a two vector containing the <code>y</code> coordinates of the first and last pixels along a row. The matrix <code>C</code> constitutes the image data. It must either be a scalar matrix, in which case the image is colormapped using the <code>colormap</code> for the current figure. If the matrix is <code>M x N x 3</code>, then <code>C</code> is intepreted as RGB data, and the image is not colormapped. The <code>properties</code> argument is a set of <code>property/value</code> pairs that affect the final image. You can also omit the <code>x</code> and <code>y</code>, </p>
<pre class="fragment"> handle = image(C, properties...)
</pre><p> in which case they default to <code>x = [1,size(C,2)]</code> and <code>y = [1,size(C,1)]</code>. Finally, you can use the <code>image</code> function with only formal arguments </p>
<pre class="fragment"> handle = image(properties...)
</pre><p>To support legacy FreeMat code, you can also use the following form of <code>image</code> </p>
<pre class="fragment"> image(C, zoomfactor)
</pre><p> which is equivalent to <code>image(C)</code> with the axes removed so that the image takes up the full figure window, and the size of the figure window adjusted to achieve the desired zoom factor using the <code>zoom</code> command. </p>
<h1><a class="anchor" id="Example"></a>
Example</h1>
<p>In this example, we create an image that is <code>512 x 512</code> pixels square, and set the background to a noise pattern. We set the central <code>128 x 256</code> pixels to be white.</p>
<pre class="fragment">--> x = rand(512);
--> x((-64:63)+256,(-128:127)+256) = 1.0;
--> figure
ans =
1
--> image(x)
--> colormap(gray)
</pre><p>The resulting image looks like: </p>
<div class="image">
<img src="image1.png" alt="image1.png"/>
</div>
Here is an example of an RGB image</p>
<pre class="fragment">--> t = linspace(0,1);
--> red = t'*t;
--> green = t'*(t.^2);
--> blue = t'*(0*t+1);
--> A(:,:,1) = red;
--> A(:,:,2) = green;
--> A(:,:,3) = blue;
--> image(A);
</pre><p>The resulting image looks like: </p>
<div class="image">
<img src="image2.png" alt="image2.png"/>
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