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 Go to latest Published: Dec 5, 2020 License: MIT Imports: 3 Imported by: 0

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Constants

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Variables

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Functions

func CrossCorrelation 

func CrossCorrelation(image, feature []float64, zeroPadding int) ([]float64, error)

CrossCorrelation determines the normalized cross-correlation of a feature with an image. Normalization is from -1 to +1, where +1 is high correlation, -1 is high correlation (of inverse), and 0 is no correlation. For autocorrelation, just cross-correlate a signal with itself. Image is the values which are actually recieved/measured. Feature is the values to be searched for in the image. Size must not be greater than size of image. ZeroPadding is the number of zeros to surround the image with (both sides will be padded). Returns a non-nil error in case of failure.

func Mean 

func Mean(vals []float64) float64

Mean returns the average of the given values or zero if no values are given.

Types

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