Next time I'll go into some of the details about how im2html works, including the use of raw HTML in your publishable MATLAB scripts, as well as an obscure thing in the Image Processing Toolbox called imagemodel. Comment here (or on the File Exchange page) if you find a good use for it, or if you have ideas about making it better. Im2html(magic(10), 'OutputFile', 'magic_table.html') You can also capture the output of im2html as a string, or write it directly to a file. The alpha for an Artist controls opacity. If there are no specified values, Matplotlib defaults to the order of the Artists added to the Axes. Matplotlib draws Artists based on the zorder parameter. In combination, they represent the colorspace.
Here are some examples showing how to use im2html with different types of images.ĭisplay a table of values for a gray-scale image: I = imread( 'pout.tif') ĭisplay a table of values from an indexed image: = imread( 'trees.tif') 'Red', 'Green', and 'Blue' are the intensities of those colors.
You can download this function from the File Exchange. I've packaged all this in a function called im2html. (You can see that effect in the screen shot above.) I also wanted to replicate the feature of the Pixel Region Tool that automatically changed the color of the superimposed text depending on whether the underlying pixel was dark or light. I wanted to handle all the different kinds of image types (grayscale, truecolor, indexed with direct mapping, indexed with scaled mapping). I wanted to go a bit further than Ned's original. I was also thinking about the Pixel Region Tool in the Image Processing Toolbox. It also produces an HTML table with colored cells and superimposed values. x and y must be numeric vectors of equal length. colorTrajectoryPlot(x,y) create a multi-color line plot following the 2D path specified by the coordinates x and y using the index of each coordinate to determine the color of the line.
I was inspired to do something like this when I saw Printing Variables to HTML Tables in Published Code (by Ned) on the File Exchange a while back. This chart creates a multi-color line based on a 2D trajectory with corresponding color data. Let’s go ahead a plot the following code. The result looks like this: rgb = imread( 'peppers.png') Just like it is to change the color of your plot in Matlab, the same goes for changing the line style, increasing the thickness of the line or some other aspect of it. Color in general is defined as a triplet RGB values r,g,b red: 0 < r < 255 (integer) or 0.0 < r < 1. Today's post shows you how to make a table with image colors and pixels appear when you publish your MATLAB scripts to HTML using the publish function. Matlab allow us to plot the results on the nodes of one element using color interpolation.