Extracts features from an image using the local binary patterns (LBP) algorithm.
Reference to the source image.
Region within which to search for corners.
Coordinates of the bounding rectangle.
Individual shapes that define an ROI.
Object specifying if contour is the external or internal edge of an ROI.
Shape type of the contour.
Relative position of the contour.
Input that specifies how the features are extracted from the image.
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.
Grid size in the X-dimension.
Grid size in the Y-dimension.
Number of bins per band to use for the object description.
Default: 9
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.
Default: No error
Reference to the source image.
Extracted features in the image
Error information.
The node produces this output 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.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application