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detectFASTFeatures

Detect corners using FAST algorithm and returncornerPointsobject

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Syntax

points = detectFASTFeatures(I)
点= detectFASTFeatures(我名字,值)

Description

example

points= detectFASTFeatures(I)返回一个cornerPointsobject,points. The object contains information about the feature points detected in a 2-D grayscale input image,I. ThedetectFASTFeaturesfunction uses the Features from Accelerated Segment Test (FAST) algorithm to find feature points.

points= detectFASTFeatures(I,Name,Value)uses additional options specified by one or moreName,Valuepair arguments.

Examples

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Open Live Script

Read the image.

I = imread('cameraman.tif');

Find the corners.

corners = detectFASTFeatures(I);

显示是sults.

imshow(I); holdon; plot(corners.selectStrongest(50));

Figure contains an axes object. The axes object contains 2 objects of type image, line.

Input Arguments

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Input image, specified in 2-D grayscale. The input image must be real and nonsparse.

Data Types:single|double|int16|uint8|uint16|logical

Name-Value Arguments

Specify optional pairs of arguments asName1=Value1,...,NameN=ValueN, whereNameis the argument name andValueis the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and encloseNamein quotes.

Example:'MinQuality','0.01','ROI',[50,150,100,200]specifies that the detector must use a 1% minimum accepted quality of corners within the designated region of interest. This region of interest is located atx=50,y=150. The ROI has a width of100pixels, and a height of200pixels.

Minimum accepted quality of corners, specified as the comma-separated pair consisting of 'MinQuality' and a scalar value in the range [0,1].

The minimum accepted quality of corners represents a fraction of the maximum corner metric value in the image. Larger values can be used to remove erroneous corners.

Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64

Minimum intensity difference between corner and surrounding region, specified as the comma-separated pair consisting of 'MinContrast' and a scalar value in the range (0,1).

The minimum intensity represents a fraction of the maximum value of the image class. Increasing the value reduces the number of detected corners.

Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64

Rectangular region for corner detection, specified as a comma-separated pair consisting of 'ROI' and a vector of the format [xywidthheight]. The first two integer values [xy] represent the location of the upper-left corner of the region of interest. The last two integer values represent the width and height.

Example:'ROI',[50,150,100,200]

Output Arguments

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Corner points object, returned as acornerPointsobject. The object contains information about the feature points detected in the 2-D grayscale input image.

References

[1] Rosten, E., and T. Drummond. "Fusing Points and Lines for High Performance Tracking,"Proceedings of the IEEE International Conference on Computer Vision, Vol. 2 (October 2005): pp. 1508–1511.

Extended Capabilities

Version History

Introduced in R2013a

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Errors starting in R2022a

See Also

Functions

Objects

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