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AVL.SegmentImage_Gray(AvlNet.Image, AvlNet.Region, float, AvlNet.BlobsDifferenceMeasure, int, int?, AvlNet.Region[])

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

inImage: Type: AvlNet.Image
Image from which blobs are extracted
inRoi: Type: AvlNet.Region
Range of pixels to be processed, or null.
inMaxDifference: Type: System.Single
Maximal difference between two neighbouring blobs to be merged
inDifferenceMeasure: Type: AvlNet.BlobsDifferenceMeasure
Measure of blobs difference
inMinArea: Type: System.Int32
Minimal area of a blob
inMaxArea: Type: System.Nullable<System.Int32>
Maximal area of a blob, or null.
outBlobs: Type: 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