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| __NOTOC__
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| Calculates minimum eigen value of each image pixel.
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| ===Function===
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| {|
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| |style="font-size:150%;"|
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| <syntaxhighlight lang="cpp">
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| CuviStatus minEigenVals(CuviImage* srcImage,
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| CuviImage* dstImage,
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| CuviGradientKernelType gradientKernelType,
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| Cuvi32s windowSize,
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| CuviStream* stream = NULL);
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| </syntaxhighlight>
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| |}
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| ===Parameters===
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|
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| {|class="wikitable"
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| |-
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| ! Name
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| ! Type
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| ! Description
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| |-
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| | srcImage
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| | CuviImage*
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| | Input Image
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| |-
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| | dstImage
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| | CuviImage*
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| | Output Image
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| |-
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| | gradientKernelType
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| | CuviGradientKernelType
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| | Type of derivative kernel to use for gradient calculation
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| |-
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| | windowSize
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| | Cuvi32s
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| | Window size for eigen value calculation
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| |-
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| | stream
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| | CuviStream*
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| | GPU stream ID for execution
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|
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| |}
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|
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| ===Image Type Support===
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|
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| {| class="wikitable"
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| |-
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| ! Input
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| ! Output
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| |-
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| | 8uC1
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| | 32fC1
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| |}
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|
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| ===Example===
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| {|
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| |style="font-size:150%;"|
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| <syntaxhighlight lang="cpp">
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|
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| //Input image
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| CuviImage* gimg = new CuviImage(cuviSize(width,height),depth,1);
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| gimg->upload(img->imageData,img->widthStep);
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|
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| //Output Image
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| CuviImage* gout = new CuviImage(cuviSize(width,height),CUVI_DEPTH_32F,1);
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|
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| //Compute Eigen Values Using 3x3 Sobel Filter for derivative, and 5x5 window for Eigen Value calculation
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| cuvi::computerVision::minEigenVals(gimg,gout,CUVI_GRADIENT_SOBEL_3x3,5);
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|
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| </syntaxhighlight>
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| |}
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