OpenCV.ImgProc.ObjectDetection

Documentation

data MatchTemplateMethod

OpenCV Sphinx doc

Constructors

MatchTemplateSqDiff

• not normed:
• normed:

MatchTemplateCCorr

• not normed:
• normed:

MatchTemplateCCoeff

• not normed:
• where
• normed:

Instances

Show MatchTemplateMethod

Methods

showsPrec :: Int -> MatchTemplateMethod -> ShowS

show :: MatchTemplateMethod -> String

showList :: [MatchTemplateMethod] -> ShowS

data MatchTemplateNormalisation

Whether to use normalisation. See MatchTemplateMethod.

Constructors

MatchTemplateNotNormed

MatchTemplateNormed

Instances

Eq MatchTemplateNormalisation

Methods

(==) :: MatchTemplateNormalisation -> MatchTemplateNormalisation -> Bool

(/=) :: MatchTemplateNormalisation -> MatchTemplateNormalisation -> Bool

Show MatchTemplateNormalisation

Methods

showsPrec :: Int -> MatchTemplateNormalisation -> ShowS

show :: MatchTemplateNormalisation -> String

showList :: [MatchTemplateNormalisation] -> ShowS

matchTemplate

Arguments

:: (depth `In` [Word8, Float], Length searchShape <= 2)

=> Mat (S searchShape) (S 1) (S depth)

Image where the search is running. It must be 8-bit or 32-bit floating-point.

-> Mat (S [th, tw]) (S 1) (S depth)

Searched template. It must be not greater than the source image and have the same data type.

-> MatchTemplateMethod

Parameter specifying the comparison method.

-> MatchTemplateNormalisation

Normalise

-> CvExcept (Mat (S [rh, rw]) (S 1) (S Float))

Map of comparison results. It must be single-channel 32-bit floating-point. If image is and templ is , then result is .

OpenCV Sphinx doc

Compares a template against overlapped image regions.

The function slides through image, compares the overlapped patches of size against templ using the specified method and stores the comparison results in result . Here are the formulae for the available comparison methods ( denotes image, template, result). The summation is done over template and/or the image patch: