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cvCornerMinEigenVal
Calculates the minimal eigenvalue of gradient matrices for corner detection.
| Name | Type | Range | Description | |
|---|---|---|---|---|
 |
inImage | Image | Input single-channel UINT8 or REAL image. | |
|
inBlockSize | Integer | 2 -  |
Neighborhood size. |
|
inApertureSize | Integer | 1 - 31 | Aperture parameter for the Sobel operator, may be 3, 5 or 7. |
|
inBorderType | CvBorderType | Pixel extrapolation method. | |
 |
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
 |
 |
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 here: Error Handling
| Error type | Description |
|---|---|
| DomainError | Input image must be single-channel UINT8 or REAL in cvCornerMinEigenVal. |
Complexity Level
This filter is available on Basic Complexity Level.
