Extract LBP Feature Vector (G Dataflow)

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Last Modified: June 25, 2019

Extracts features from an image using the local binary patterns (LBP) algorithm.

Inputs/Outputs
Compatibility

image in

Reference to the source image.

ROI descriptor

Region within which to search for corners.

global rectangle

Coordinates of the bounding rectangle.

contours

Individual shapes that define an ROI.

ID

Object specifying if contour is the external or internal edge of an ROI.

Type

Shape type of the contour.

Coordinates

Relative position of the contour.

feature extraction options

Input that specifies how the features are extracted from the image.

grid size

Cluster that specifies the size, in number, of the blocks along X and Y directions that the node uses when extracting the features.

The default size is 1 x 1 block. For example, if the grid size is X = 3 and Y = 5, the image or the ROI is divided into 3 x 5 blocks, 3 in the X direction and 5 in the Y direction.

X

Grid size in the X-dimension.

Y

Grid size in the Y-dimension.

histogram bins

Number of bins per band to use for the object description.

Default: 9

error in

Error conditions that occur before this node runs.

The node responds to this input according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error	error in contains an error

If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

image out

Reference to the source image.

feature vector

Extracted features in the image

error out

Error information.

The node produces this output according to standard error behavior.