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AVL.SegmentImage_Gray Method

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

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax

public static void SegmentImage_Gray(
	AvlNet.Image inImage,
	AvlNet.Region inRoi,
	float inMaxDifference,
	AvlNet.BlobsDifferenceMeasure inDifferenceMeasure,
	int inMinArea,
	int? inMaxArea,
	out AvlNet.Region[] outBlobs
)

Parameters

Name	Type	Range	Default	Description
inImage	AvlNet.Image			Image from which blobs are extracted.
inRoi	AvlNet.Region			Range of pixels to be processed. Default value: atl::NIL, or null.
inMaxDifference	float	<0.0f, INF>	5.0f	Maximal difference between two neighbouring blobs to be merged. Default value: 5.0f.
inDifferenceMeasure	AvlNet.BlobsDifferenceMeasure		Neighbour	Measure of blobs difference. Default value: Neighbour.
inMinArea	int	<0, INF>	50	Minimal area of a blob. Default value: 50.
inMaxArea	int ?	<0, INF>		Maximal area of a blob. Default value: atl::NIL, or null.
outBlobs	AvlNet.Region			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