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SegmentImage_Gray

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Module: FoundationPro

Segments an image into blobs examining differences between neighbouring pixels values.

Applications

Detection of objects of undefined shape, but characterized by uniform brightness and good contrast to the background.
Name Type Range Description
Input value inImage Image Image from which blobs are extracted
Input value inRoi Region* Range of pixels to be processed
Input value inMaxDifference Real 0.0 - Maximal difference between two neighbouring blobs to be merged
Input value inDifferenceMeasure BlobsDifferenceMeasure Measure of blobs difference
Input value inMinArea Integer 0 - Minimal area of a blob
Input value inMaxArea Integer* 0 - Maximal area of a blob
Output value outBlobs RegionArray Blobs extracted from the input image

Description

The filter segments the inImage image into blobs of adjacent pixels which gray values do not differ too much. The classification is different depending on the inDifferenceMeasure method:

  • if Mean is selected, pixel is considered to belong to an adjacent blob when its value differs by at most inMaxDifference from the mean value of this blob's pixels
  • if Neighbour is selected, two adjacent pixels are considered to belong to the same blob when their values differ by at most inMaxDifference

Examples

SegmentImage_Gray performed on the sample image with inMaxDifference = 55, inDifferenceMeasure = Mean and inMinArea = 50.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Not supported difference measure in SegmentImage_Gray.

Complexity Level

This filter is available on Advanced Complexity Level.

See Also