Detection mask🔗

A compound tool that splits an image to fixed-size blocks and produces a low-resolution detection mask image by classifying each sub-image. The sub-image classifier is provided by an inherited implementation.

Inputs🔗

  • image: The image in which objects are to be detected.

  • gridSpacing: The horizontal and vertical spacing between grid corner points in pixel coordinates. A 1-by-2 matrix.

  • gridPosition: Specifies how the grid should be positioned. See Generate grid.

Outputs🔗

  • mask: A low-resolution mask image whose pixel intensities are classifications/regressions/probabilities produced by the internal classifier, scaled to [0, 255].

enum GridPosition🔗

Different ways of positioning the grid.

Values:

enumerator FitInImage🔗

Make sure each cell fits in the image completely.

If the size of the image is not a multiple of gridSpacing, leave equal top/bottom and left/right margins. If the input image is smaller than gridSpacing, this technique produces an empty set of points.

enumerator CoverWholeImage🔗

Make sure every pixel in the image is in one of the cells.

If the size of the image is not a multiple of gridSpacing, the top/bottom and left/right cells exceed image boundaries by an equal amount.