Find minimum values in input or sequence of inputs
Statistics
visionstatistics
The 2-D Minimum block identifies the value and/or position of the smallest element in each row or column of the input, or along a specified dimension of the input. The 2-D Minimum block can also track the minimum values in a sequence of inputs over a period of time.
The 2-D Minimum block supports real and complex floating-point,
fixed-point, and Boolean inputs. Real fixed-point inputs can be either
signed or unsigned, while complex fixed-point inputs must be signed.
The output data type of the minimum values match the data type of
the input. The block outputs double
index
values, when the input is double
, and uint32
otherwise.
Port | Input/Output | Supported Data Types | Complex Values Supported |
---|---|---|---|
Input | Scalar, vector or matrix of intensity values |
| Yes |
Rst | Scalar value | Boolean | No |
Val | Minimum value output based on the Value Mode | Same as Input port | Yes |
Idx | One-based output location of the minimum value based on the Index Mode | Same as Input port | No |
Length-M 1-D vector inputs are treated as M-by-1 column vectors.
When you set the Mode parameter to Value
,
the block computes the minimum value in each row, column, entire input,
or over a specified dimension. The block outputs each element as
the minimum value in the corresponding column, row, vector, or entire
input. The output depends on the setting of the Find the
minimum value over parameter. For example, consider a 3-dimensional
input signal of size M-by-N-by-P:
Each row
— The output
at each sample time consists of an M-by-1-by-P array,
where each element contains the minimum value of each vector over
the second dimension of the input. For an M-by-N input
matrix, the block outputs an M-by-1 column vector
at each sample time.
Each column
— The
output at each sample time consists of a 1-by-N-by-P array,
where each element contains the minimum value of each vector over
the first dimension of the input. For an M-by-N input
matrix, the block outputs a 1-by-N row vector at
each sample time.
In this mode, the block treats length-M unoriented vector inputs as M-by-1 column vectors.
Entire input
— The
output at each sample time is a scalar that contains the minimum value
in the M-by-N-by-P input
matrix.
Specified dimension
—
The output at each sample time depends on Dimension.
When you set Dimension to 1
,
the block output is the same as when you select Each
column
. When you set Dimension to 2
,
the block output is the same as when you select Each
row
. When you set Dimension to 3
,
the block outputs an M-by-N matrix
containing the minimum value of each vector over the third dimension
of the input, at each sample time.
For complex inputs, the block selects the value in each row or column of the input, along vectors of a specified dimension of the input, or of the entire input that has the minimum magnitude squared as shown below. For complex value $$u=a+bi$$, the magnitude squared is $${a}^{2}+{b}^{2}$$.
When you set the Mode parameter to Index
,
the block computes the minimum value in each row or column of the
input, along vectors of a specified dimension of the input, or of
the entire input, and outputs the index array I.
Each element in I is an integer indexing the minimum
value in the corresponding column, row, vector, or entire input. The
output I depends on the setting of the Find
the minimum value over parameter. For example, consider
a 3-dimensional input signal of size M-by-N-by-P:
Each row
— The output
at each sample time consists of an M-by-1-by-P array,
where each element contains the index of the minimum value of each
vector over the second dimension of the input. For an input that is
an M-by-N matrix, the output
at each sample time is an M-by-1 column vector.
Each column
— The
output at each sample time consists of a 1-by-N-by-P array,
where each element contains the index of the minimum value of each
vector over the first dimension of the input. For an input that is
an M-by-N matrix, the output
at each sample time is a 1-by-N row vector.
In this mode, the block treats length-M unoriented vector inputs as M-by-1 column vectors.
Entire input
— The
output at each sample time is a 1-by-3 vector that contains the location
of the minimum value in the M-by-N-by-P input
matrix. For an input that is an M-by-N matrix,
the output will be a 1-by-2 vector of one-based [x y] location coordinates
for the minimum value.
Specified dimension
—
The output at each sample time depends on Dimension.
If Dimension is set to 1, the output is the same
as when you select Each column
. If Dimension is
set to 2, the output is the same as when you select Each
row
. If Dimension is set to 3,
the output at each sample time is an M-by-N matrix
containing the indices of the minimum values of each vector over the
third dimension of the input.
When a minimum value occurs more than once, the computed index
corresponds to the first occurrence. For example, when the input is
the column vector [-1 2 3 2 -1]'
, the computed
one-based index of the minimum value is 1
rather
than 5
when Each column
is
selected.
When you set the Mode parameter to Value
and Index
, the block outputs both the minima, and the
indices.
When you set the Mode parameter to Running
,
the block tracks the minimum value of each channel in a time sequence
of M-by-N inputs. In this mode,
the block treats each element as a channel.
The block resets the running minimum whenever a reset event is detected at the optional Rst port. The reset sample time must be a positive integer multiple of the input sample time.
You specify the reset event by the Reset port parameter:
None
— Disables
the Rst port
Rising edge
— Triggers
a reset operation when the Rst input does one of the following:
Rises from a negative value to a positive value or zero
Rises from zero to a positive value, where the rise is not a continuation of a rise from a negative value to zero (see the following figure)
Falling edge
— Triggers
a reset operation when the Rst
input does one of
the following:
Falls from a positive value to a negative value or zero
Falls from zero to a negative value, where the fall is not a continuation of a fall from a positive value to zero (see the following figure)
Either edge
— Triggers
a reset operation when the Rst
input is a Rising
edge
or Falling edge
(as
described above)
Non-zero sample
—
Triggers a reset operation at each sample time that the Rst
input
is not zero
Note:
When running simulations in the Simulink^{®} |
To calculate the statistical value within a particular region
of interest (ROI) of the input, select the Enable ROI processing check
box. This applies to any mode other than the running mode and when
you set the Find the minimum value over parameter
to Entire input
and you select the Enable
ROI processing check box. ROI processing applies only for
2-D inputs.
You can specify a rectangle, line, label matrix, or binary mask ROI type.
Use the binary mask to specify which pixels to highlight or select.
Use the label matrix to label regions. Pixels set to 0
represent
the background. Pixels set to 1
represent the first
object, pixels set to 2
, represent the second object,
and so on. Use the Label Numbers port to specify
the objects in the label matrix for which the block calculates statistics.
The input to this port must be a vector of scalar values that correspond
to the labeled regions in the label matrix.
For rectangular ROIs, use the ROI portion to process parameter to specify whether to calculate the statistical value for the entire ROI or just the ROI perimeter. For more information about the format of the input to the ROI port when you set the ROI to a rectangle or a line, see the Draw Shapes block reference page.
Output = Individual statistics for each ROI
Flag Port Output | Description |
---|---|
0 | ROI is completely outside the input image. |
1 | ROI is completely or partially inside the input image. |
Output = Single statistic for all ROIs
Flag Port Output | Description |
---|---|
0 | All ROIs are completely outside the input image. |
1 | At least one ROI is completely or partially inside the input image. |
If the ROI is partially outside the image, the block only computes the statistical values for the portion of the ROI that is within the image.
Output = Individual statistics for each ROI
Flag Port Output | Description |
---|---|
0 | Label number is not in the label matrix. |
1 | Label number is in the label matrix. |
Output = Single statistic for all ROIs
Flag Port Output | Description |
---|---|
0 | None of the label numbers are in the label matrix. |
1 | At least one of the label numbers is in the label matrix. |
The parameters on the Fixed-point pane of the dialog box are only used for complex fixed-point inputs. The sum of the squares of the real and imaginary parts of such an input are formed before a comparison is made, as described in Value Mode. The results of the squares of the real and imaginary parts are placed into the product output data type. The result of the sum of the squares is placed into the accumulator data type. These parameters are ignored for other types of inputs.
The Main pane of the 2-D Minimum dialog box appears as shown in the following figure.
Specify the block's mode of operation:
Value and Index
— Output
both the value and the index location.
Value
— Output the minimum
value of each input matrix. For more information, see Value Mode
Index
— Output the one-based
index location of the minimum value. For more information, see Index Mode
Running
— Track the minimum
value of the input sequence over time. For more information, see Running Mode.
For the Value
, Index
,
and Value and Index
modes, the 2-D Minimum block
produces identical results as the MATLAB^{®} min
function
when it is called as [y I] = min(u,[],D)
, where u and y are
the input and output, respectively, D is the dimension,
and I is the index.
Specify whether the block should find the minimum of the entire input each row, each column, or dimensions specified by the Dimension parameter.
Specify the reset event that causes the block to reset the running
minimum. The rate of the reset signal must be a positive integer multiple
of the rate of the data signal input. This parameter appears only
when you set the Mode parameter to Running
.
For information about the possible values of this parameter, see Resetting the Running Minimum.
Specify the dimension (one-based value) of the input signal,
over which the minimum is computed. The value of this parameter cannot
exceed the number of dimensions in the input signal. This parameter
applies only when you set the Find the minimum value over parameter
to Specified dimension
.
Select this check box to calculate the statistical value within
a particular region of each image. This parameter applies only when
you set the Find the minimum value over parameter
to Entire input
, and the block is not in running
mode.
Specify the type of ROI you want to use. Your choices are Rectangles
, Lines
, Label
matrix
, or Binary mask
.
When you set this parameter to Rectangles
or Lines
,
the Output flag indicating if ROI is within image bounds check
box appears in the dialog box. If you select this check box, the Flag port
appears on the block.
When you set this parameter to Label matrix
,
the Label and Label Numbers ports
appear on the block and the Output flag indicating if input
label numbers are valid check box appears in the dialog
box. If you select this check box, the Flag port appears on the block.
See Output = Individual statistics for each ROI for details.
Specify whether you want to calculate the statistical value
for the entire ROI or just the ROI perimeter. This parameter applies
only when you set the ROI type parameter to Rectangles
.
Specify the block output. The block can output a vector of separate
statistical values for each ROI or a scalar value that represents
the statistical value for all the specified ROIs. This parameter does
not apply when you set the ROI type parameter,
to Binary mask
.
When you select this check box, the Flag port
appears on the block. This check box applies only when you set the ROI
type parameter to Rectangles
or Lines
.
For a description of the Flag port output, see
the tables in ROI Processing.
When you select this check box, the Flag port
appears on the block. This check box applies only when you set the ROI
type parameter to Label matrix
.
For a description of the Flag port output, see
the tables in ROI Processing.
The Fixed-point pane of the 2-D Minimum dialog box appears as shown in the following figure.
Note: The parameters on the Data Types pane are only used for complex fixed-point inputs. The sum of the squares of the real and imaginary parts of such an input are formed before a comparison is made, as described in Value Mode. The results of the squares of the real and imaginary parts are placed into the product output data type. The result of the sum of the squares is placed into the accumulator data type. These parameters are ignored for other types of inputs. |
Select the Rounding Modes for fixed-point operations.
Select the Overflow mode for fixed-point operations.
Specify the product output data type. See Fixed-Point Data Types and Multiplication Data Types for illustrations depicting the use of the product output data type in this block. You can set it to:
A rule that inherits a data type, for example, Inherit:
Same as input
An expression that evaluates to a valid data type,
for example, fixdt([],16,0)
Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Product output data type parameter.
See Specify Data Types Using Data Type Assistant for more information.
Specify the accumulator data type. See Fixed-Point Data Types for illustrations depicting the use of the accumulator data type in this block. You can set this parameter to:
A rule that inherits a data type, for example, Inherit:
Same as input
An expression that evaluates to a valid data type,
for example, fixdt([],16,0)
Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Accumulator data type parameter.
See Specify Data Types Using Data Type Assistant for more information.
The ex_vision_2dminimum example finds the minimum value within two ROIs. The model outputs the minimum values and their one-based [x y] coordinate locations.
2-D Maximum | Computer Vision System Toolbox™ |
2-D Mean | Computer Vision System Toolbox |
MinMax | Simulink |
2D-Histogram | Computer Vision System Toolbox |
min | MATLAB |