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Module: | OpenCV |
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Calculates the minimal eigenvalue of gradient matrices for corner detection.
Name | Type | Range | Description | |
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inImage | Image | Input single-channel UINT8 or REAL image. | |
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inBlockSize | Integer | 2 - ![]() |
Neighborhood size. |
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inApertureSize | Integer | 1 - 31 | Aperture parameter for the Sobel operator, may be 3, 5 or 7. |
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inBorderType | CvBorderType | Pixel extrapolation method. | |
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outImage | Image | Output image with minimal eigenvalues. |
Description
The operation detects corners within inImage image using the Kanade-Tomasi corner response method. For more information on the method please refer to the DetectCorners_CornerResponse article. outImage is a corner response image of type Real with pixel values from 0 to 255.
Examples
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cvCornerMinEigenVal performed on the sample image. Output image is normalized.
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 |
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DomainError | Input image must be single-channel UINT8 or REAL in cvCornerMinEigenVal. |
Complexity Level
This filter is available on Basic Complexity Level.
See Also
- cvCornerHarris – Harris corner detector.
- DetectCorners_CornerResponse – Detects corners using corner response method.