# mmImage
Toolbox image datatype

## Description

The Morphology Toolbox mainly supports four types of images according to their pixel datatypes : binary, unsigned gray scale uint8 and uint16, and signed gray scale int32. Most functions work for 1D, 2D and 3D images. If an operation involves images of specific datatype, an automatic conversion can take place, controlled by the function mmfreedom. To verify the datatype of an image, use the functions: mmdatatype and mmlimits.

## Examples

In the examples below, all images has pixels with values zero and one, but only the first one is a binary image. This can be verified by calling the function mmlimits that outputs the minimum and maximum pixel values allowed in an image.

    >>> f1 = mmbinary([[0,1,0,1],
                       [0,0,1,1]])

    >>> print mmlimits(f1)

    [0 1]

    >>> print mmdatatype(f1)

    binary

    >>> f2 = uint8([[0,1,0,1],
                    [0,0,1,1]])

    >>> print mmlimits(f2)

    [  0 255]

    >>> print mmdatatype(f2)

    uint8

    >>> f3 = uint16([[0,1,0,1],
                    [0,0,1,1]])

    >>> print mmlimits(f3)

    [    0 65535]

    >>> print mmdatatype(f3)

    uint16

    >>> f4 = int32([[0,1,0,1],
                   [0,0,1,1]])

    >>> print mmlimits(f4)

    [-2147483647  2147483647]

    >>> print mmdatatype(f4)

    int32

## See also

mmbinary | Convert a gray-scale image into a binary image
uint8 | Convert an image to an uint8 image.
uint16 | Convert an image to a uint16 image.
int32 | Convert an image to an int32 image.
mmshow | Display binary or gray-scale images and optionally overlay it with binary images.
mmdatatype | Return the image datatype string
mmlimits | Get the possible minimum and maximum of an image.
mmfreedom | Control automatic data type conversion.

[Up] [`mmSe`] |
Copyright (c) 2003, Roberto A. Lotufo, UNICAMP-University of Campinas; Rubens C. Machado, CenPRA-Renato Archer Research Center.