Start » Filter Reference » Computer Vision » Image Segmentation » SegmentImage_Gray
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 | |
---|---|---|---|---|
inImage | Image | Image from which blobs are extracted | ||
inRoi | Region* | Range of pixels to be processed | ||
inMaxDifference | Real | 0.0 - | Maximal difference between two neighbouring blobs to be merged | |
inDifferenceMeasure | BlobsDifferenceMeasure | Measure of blobs difference | ||
inMinArea | Integer | 0 - | Minimal area of a blob | |
inMaxArea | Integer* | 0 - | Maximal area of a blob | |
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
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
- SegmentImage_Edges – Segments an image into blobs using image edges as their borders.
- SegmentImage_Watersheds – Computes dark or bright watershed basins of an image.