(`find_objects``input, max_label=0`)-
The
`find_objects`finds all objects in a labeled array and returns a list of slices that correspond to the smallest regions in the array that contains the object. For instance:>>> a = array([[0,1,1,0,0,0],[0,1,1,0,1,0],[0,0,0,1,1,1],[0,0,0,0,1,0]]) >>> l, n = label(a) >>> f = find_objects(l) >>> print a[f[0]] [[1 1] [1 1]] >>> print a[f[1]] [[0 1 0] [1 1 1] [0 1 0]]

`find_objects`returns slices for all objects, unless the`max_label`parameter is larger then zero, in which case only the first`max_label`objects are returned. If an index is missing in the`label`array,`None`is return instead of a slice. For example:>>> print find_objects([1, 0, 3, 4], max_label = 3) [(slice(0, 1, None),), None, (slice(2, 3, None),)]

The list of slices generated by `find_objects` is useful to find
the position and dimensions of the objects in the array, but can also be
used to perform measurements on the individual objects. Say we want to find
the sum of the intensities of an object in image:

>>> image = arange(4*6,shape=(4,6)) >>> mask = array([[0,1,1,0,0,0],[0,1,1,0,1,0],[0,0,0,1,1,1],[0,0,0,0,1,0]]) >>> labels = label(mask)[0] >>> slices = find_objects(labels)

>>> print where(labels[slices[1]] == 2, image[slices[1]], 0).sum() 80

>>> print sum(image, labels, 2) 80.0

>>> print sum(image[slices[1]], labels[slices[1]], 2) 80.0

>>> print sum(image, labels, [0, 2]) [178.0, 80.0]

The measurement functions described below all support the `index`
parameter to indicate which object(s) should be measured. The default value
of `index` is `None`. This indicates that all elements where
the label is larger than zero should be treated as a single object and
measured. Thus, in this case the `labels` array is treated as a mask
defined by the elements that are larger than zero. If `index` is a
number or a sequence of numbers it gives the labels of the objects that are
measured. If `index` is a sequence, a list of the results is returned.

(`sum``input, labels=None, index=None`)-
The
`sum`function calculates the sum of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`mean``input, labels=None, index=None`)-
The
`mean`function calculates the mean of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`variance``input, labels=None, index=None`)-
The
`variance`function calculates the variance of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`standard_deviation``input, labels=None, index=None`)-
The
`standard_deviation`function calculates the standard deviation of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`minimum``input, labels=None, index=None`)-
The
`minimum`function calculates the minimum of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`maximum``input, labels=None, index=None`)-
The
`maximum`function calculates the maximum of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`minimum_position``input, labels=None, index=None`)-
The
`minimum_position`function calculates the position of the minimum of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`maximum_position``input, labels=None, index=None`)-
The
`maximum_position`function calculates the position of the maximum of the elements of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`center_of_mass``input, labels=None, index=None`)-
The
`center_of_mass`function calculates the center of mass of the of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation.

(`histogram``input, min, max, bins, labels=None, index=None`)-
The
`histogram`function calculates a histogram of the of the object with label(s) given by`index`, using the`labels`array for the object labels. If`index`is`None`, all elements with a non-zero label value are treated as a single object. If`label`is`None`, all elements of`input`are used in the calculation. Histograms are defined by their minimum (`min`), maximum (`max`) and the number of bins (`bins`). They are returned as one-dimensional arrays of type Int32.

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