Version 3.0 (R12+) Image Processing Toolbox :: Image Processing Toolbox Release Notes (Image Processing Toolbox™)

Version 3.0 (R12+) Image Processing Toolbox™ Release Notes

Version 3.1 (R12.1) Image Processing Toolbox

Version 2.2.2 (R12) Image Processing Toolbox

Version 3.0 (R12+) Image Processing Toolbox

This table summarizes what's new in Version 3.0 (R12+):

New Features and Changes	Version Compatibility Considerations	Fixed Bugs and Known Problems	Related Documentation at Web Site
Yes Details below	No	No	No

New features and changes introduced in this version are

Morphology

This release adds a broad suite of new mathematical morphology tools open up broad new classes of applications in segmentation and image enhancement

The existing dilation and erosion operators have been extended to work with grayscale images. New functions range from additional basic operators (morphological opening and closing) to advanced tools useful for segmentation (distance transforms, reconstruction-based operators, and the watershed transform). The functions use advanced techniques for high performance, including automatic-structuring element decomposition, 32-bit binary image packing, and queue-based algorithms.

Function	Description
`bwareaopen`	Binary area open (remove small objects)
`bwdist`	Distance transform
`bwhitmiss`	Binary hit-miss operation
`bwlabeln`	Label-connected components in N-D binary image
`bwpack`	Pack binary image
`bwulterode`	Ultimate erosion
`bwunpack`	Unpack binary image
`conndef`	Default connectivity array
`imbothat`	Perform bottom-hat filtering
`imclearborder`	Suppress light structures connected to image border
`imclose`	Close image
`imdilate`	Dilate image
`imerode`	Erode image
`imextendedmax`	Extended-maxima transform
`imextendedmin`	Extended-minima transform
`imfill`	Fill image regions and holes
`imhmax`	H-maxima transform
`imhmin`	H-minima transform
`imimposemin`	Impose minima
`imopen`	Open image
`imreconstruct`	Morphological reconstruction
`imregionalmax`	Regional maxima
`imregionalmin`	Regional minima
`imtophat`	Tophat filtering
`strel`	Create morphological structuring element
`strel/getheight`	Get structuring element height
`strel/getnhood`	Get structuring element neighborhood
`strel/getsequence`	Get sequence of decomposed structuring elements
`strel/isflat`	Return true for flat structuring element
`strel/reflect`	Reflect structuring element about its center
`strel/translate`	Translate structuring element
`watershed`	Find image watershed regions

Spatial Transformations

This release includes functions for applying a variety of spatial transformations to images and to points. This is a core computational capability. Supported transform types include affine, projective, and user-defined custom transformations. Multidimensional transformations are supported, where you can control which dimensions are the transform dimensions. For example, you can apply a two-dimensional transform to an RGB image, and each color plane is automatically transformed the same way. You can even control the type of interpolation independently along each dimension, and specify interpolants that you define.

Function	Description
`checkerboard`	Create checkerboard image
`findbounds`	Find output bounds for geometric transformation
`fliptform`	Flip the input and output roles of a `TFORM` struct
`imtransform`	Apply geometric transformation to image
`makeresampler`	Create resampler structure
`maketform`	Create geometric transformation structure (`TFORM`)
`tformarray`	Geometric transformation of a multidimensional array
`tformfwd`	Apply inverse geometric transformation
`tforminv`	Apply forward geometric transformation

Image Registration

The toolbox includes several new functions useful for registering (aligning) two images. This is critical in remote sensing and medical imaging, for example. There are functions for inferring various spatial transformations from control-point pairs, for the subpixel adjustment of control-point pair locations, and for normalized cross-correlation. There is also a graphical user interface (GUI) for selecting control-point pairs in a pair of images.

Function	Description
`cp2tform`	Infer spatial transformation from control-point pairs
`cpcorr`	Tune control-point locations using cross-correlation
`cpselect`	Control-point selection tool (graphical user interface)
`cpstruct2pairs`	Convert `CPSTRUCT` to valid pairs of control points
`normxcorr2`	Normalized two-dimensional cross-correlation

Integer Image Arithmetic

The toolbox includes new functions for performing arithmetic on image arrays without converting them to double-precision. In addition to the basic operations (add, subtract, multiply, and divide), there are several key functions (absolute difference, linear combination, and complementation) that cannot readily be implemented in terms of the basic operations.

Function	Description
`imabsdiff`	Absolute difference of two images
`imadd`	Add two images, or add constant to image
`imcomplement`	Complement image
`imdivide`	Divide two images, or divide image by constant
`imlincomb`	Linear combination of images
`immultiply`	Multiply two images, or multiply image by constant
`imsubtract`	Subtract two images, or subtract constant from image

Integer Image Filtering

The toolbox includes a function for performing filtering on image arrays without converting them to double precision, a significant memory savings in a common operation. You can specify several different boundary padding options. You can also perform higher dimensional filtering.

Function	Description
`imfilter`	Filter 2-D and N-D images

Deconvolution/Deblurring

The toolbox adds support for several fundamental algorithms for the deconvolution (deblurring) of images. All of the functions support multidimensional problems.

Function	Description
`deconvblind`	Deblur image using blind deconvolution algorithm [New with Version 3.1]
`deconvlucy`	Deblur image using Lucy-Richardson algorithm
`deconvreg`	Regularized deconvolution
`deconvwnr`	Wiener deconvolution
`edgetaper`	Taper image edges according to PSF
`fspecial`	Existing function; added `'disk'` and `'motion'` options
`otf2psf`	Convert optical transfer function to point-spread function
`psf2otf`	Convert point-spread function to optical transfer function

Support for DICOM Files

The toolbox adds functions for reading image data and metadata from DICOM files. DICOM is an important file and network interchange standard in the area of medical imaging.

Function	Description
`dicomread`	Read image data from DICOM file
`dicominfo`	Read metadata from DICOM file

Miscellaneous New Functions

This release includes several new utility functions or previously undocumented utility functions. Most of these were created to support functions in the key feature categories, such as deconvolution.

Function	Description
`circshift`	Shift array circularly Note: This function was moved into MATLAB in release 3.2 of the Image Processing Toolbox software.
`graythresh`	Compute global image threshold using Otsu's method (image enhancement)
`im2mis`	Convert image to Java MemoryImageSource Note: This function was renamed to `im2java` and moved into MATLAB in release 3.2 of the Image Processing Toolbox software.
`imnoise`	Added support for new noise types: `'poisson'` and `'localvar'`
`label2rgb`	Convert label matrix to RGB image [New for Version 3.1]
`padarray`	Pad array
`regionprops`	Renamed from existing function `imfeature`; extended to N-D
`stretchlim`	Find limits to contrast stretch an image

New Demos

The Image Processing Toolbox includes the 15 new demos, presented in HTML form.

Demo Name	Brief Description
`ipexconformal`	Explore a Conformal Mapping: illustrates how to use spatial- and image-transformation functions to perform a conformal mapping.
`ipexdeconvblind`	Deblurring Images Using the Lucy-Richardson algorithm: illustrates use of the `deconvlucy` function. [New with Version 3.1]
`ipexdeconvlucy`	Deblurring Images Using the Lucy-Richardson algorithm: illustrates use of the `deconvlucy` function.
`ipexdeconvreg`	Deblurring Images Using a Regularized Filter: illustrates use of the `deconvreg` function.
`ipexdeconvwnr`	Deblurring Images Using the Wiener Filter: illustrates use of the `deconvwnr` function.
`ipexgranulometry`	Finding the Granulometry of Stars in an Image: illustrates how to use morphology functions to perform granulometry.
`ipexmri`	Extracting Slices from a 3-Dimensional MRI Data Set: illustrates how to use the image transformation functions to interpolate and reslice a three-dimensional MRI data set, providing a convenient way to view a volume of data.
`ipexnormxcorr2`	Registering an Image Using Normalized Cross-correlation: illustrates how to use translation to align two images.
`ipexregaerial`	Registering an Aerial Photo to an Orthophoto: illustrates how to use the Control Point Selection Tool to align two images.
`ipexrotate`	Finding the Rotation and Scale of a Distorted Image: illustrates how to use the `cp2tform` function to get the rotation angle and scale factor of a distorted image.
`ipexsegcell`	Detecting a Cell Using Image Segmentation: illustrates how to use dilation and erosion to perform edge detection.
`ipexsegmicro`	Detecting Microstructures Using Image Segmentation: illustrates how to use morphological opening and closing to extract large objects from an image.
`ipexsegwatershed`	Detecting Touching Objects Using Watershed Segmentation: illustrates use of morphology functions to perform marker-control watershed segmentation.
`ipexshear`	Padding and Shearing an Image Simultaneously: illustrates how to use the padding options of the image transformation functions.
`ipextform`	Creating a Gallery of Transformed Images: illustrates how to use the `imtransform` function to perform many types of image transformations.

Version 3.1 (R12.1) Image Processing Toolbox

Version 2.2.2 (R12) Image Processing Toolbox