% Image import as variable im=imread('image.tif') % Image visualisation figure imshow(im) % Application of image processing im_proc=. The following example represents how this sequence can be achieved. Although the name of the saved image can be chosen freely, when building a large pipeline, it is suggested that the name of each resulting image be representative of the processing step in order to maintain process coherence. variable), the format and the final name have to be specified. Saving an image can be achieved using the function imwritewhere the desired image (i.e.
If, instead, imshowis used on its own, the new image replaces the last one in the last open figure window. Image visualisation is achieved using the function imshow to produce a new figure, a call to imshowhas to be preceded by a call to figure. If we consider an image file with name ‘image’ and format ‘tiff’, using the function imread, the image can be loaded as a 2D or 3D matrix, depending on the image type. Just as any other data set in MATLAB, images are represented by a variable.
#MATLAB 3D MATRIX TO IMAGETYPE CODE#
The functions and code provided in this chapter are adopted from the MATLAB documentation, unless otherwise stated. Each section is accompanied by MATLAB example code. The second part is dedicated to GPU acceleration of image processing techniques either by using the built-in PCT functions or through writing our own functions. These include retrieving information about digital images, image adjustment and processing as well as feature extraction and video handling. In this chapter, the first part is dedicated to some essential tools of the IPT that can be used in image analysis and assessment as well as in extraction of useful information for further processing and assessment.
However, for many image processing applications we still need to write our own code, either in MATLAB or, in the case of GPU-accelerated applications requiring specific control over GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA). Moreover, the built-in Parallel Computing Toolbox ™ (PCT) has recently been expanded and now supports graphics processing unit (GPU) acceleration for some functions of the IPT. The Image Processing Toolbox ™ (IPT) includes all the necessary tools for general-purpose image processing incorporating more than 300 functions which have been optimised to offer good accuracy and high speed of processing. Since images can be represented by 2D or 3D matrices and the MATLAB processing engine relies on matrix representation of all entities, MATLAB is particularly suitable for implementation and testing of image processing workflows. More than 40 toolboxes are available in the current release (R2013b released in September 2013), which include numerous built-in functions enhanced by access to a high-level programming language.
#MATLAB 3D MATRIX TO IMAGETYPE SOFTWARE#
So there are three spatial dimensions in D and we can use imtransform or tformarray to convert the horizontal slices to sagittal slices (showing the view from the side of the head) or coronal (frontal) slices (showing the view from the front or back of the head).MATLAB ® (The MathWorks, Natick, MA, USA) is a software package for numerical computing that can be used in various scientific disciplines such as mathematics, physics, electronics, engineering and biology.
( size(D,3) would be 3 for an RGB image sequence.) The fourth dimension is temporal (as with any image sequence), but in this particular case it is also spatial.
The third dimension is the color dimension, with size 1 because it indexes into the colormap. The dimensionality of D makes it compatible with montage. Values in D range from 0 through 88, so the colormap is needed to generate a figure with a useful visual range. Loading mri.mat adds two variables to the workspace: D (128-by-128-by-1-by-27, class uint8) and a grayscale colormap, map (89-by-3, class double).ĭ comprises 27 128-by-128 horizontal slices from an MRI data scan of a human cranium. This example uses the MRI data set that comes with MATLAB® and that is used in the help examples for both montage and immovie.
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