| Safe Haskell | Safe-Infered |
|---|
CV.Filters
Description
This module is a collection of various image filters
- gaussian :: (Int, Int) -> Image GrayScale D32 -> Image GrayScale D32
- gaussianOp :: (Int, Int) -> ImageOperation GrayScale D32
- blurOp :: (Int, Int) -> ImageOperation GrayScale D32
- blur :: (Int, Int) -> Image GrayScale D32 -> Image GrayScale D32
- blurNS :: (Int, Int) -> Image GrayScale D32 -> Image GrayScale D32
- class HasMedianFiltering a where
- susan :: (Int, Int) -> Double -> Double -> Image GrayScale D32 -> Image GrayScale D32
- getCentralMoment :: CInt -> (CInt, CInt) -> Image c d -> Image channels depth
- getAbsCentralMoment :: CInt -> (CInt, CInt) -> Image c d -> Image channels depth
- getMoment :: CInt -> (CInt, CInt) -> Image c d -> Image channels depth
- secondMomentBinarize :: CDouble -> Image c d -> Image c d
- secondMomentBinarizeOp :: CDouble -> ImageOperation c d
- secondMomentAdaptiveBinarize :: CInt -> CInt -> CDouble -> Image c d -> Image c d
- secondMomentAdaptiveBinarizeOp :: CInt -> CInt -> CDouble -> ImageOperation c d
- selectiveAvg :: (Int, Int) -> Double -> Image GrayScale D32 -> Image GrayScale D32
- convolve2D :: (Point2D anchor, ELP anchor ~ Int) => Matrix D32 -> anchor -> Image GrayScale D32 -> Image GrayScale D32
- convolve2DI :: (CInt, CInt) -> Image c1 d1 -> Image c d -> Image channels depth
- haar :: IntegralImage -> (Int, Int, Int, Int) -> Image GrayScale D32
- haarAt :: IntegralImage -> (Int, Int, Int, Int) -> Double
- data IntegralImage
- integralImage :: Image GrayScale D32 -> IntegralImage
- verticalAverage :: Image GrayScale D32 -> Image GrayScale D32
Documentation
gaussianOp :: (Int, Int) -> ImageOperation GrayScale D32
class HasMedianFiltering a where
Instances
susan :: (Int, Int) -> Double -> Double -> Image GrayScale D32 -> Image GrayScale D32
SUSAN adaptive smoothing filter, see http://users.fmrib.ox.ac.uk/~steve/susan/susan/susan.html
secondMomentBinarize :: CDouble -> Image c d -> Image c d
secondMomentBinarizeOp :: CDouble -> ImageOperation c d
secondMomentAdaptiveBinarizeOp :: CInt -> CInt -> CDouble -> ImageOperation c d
selectiveAvg :: (Int, Int) -> Double -> Image GrayScale D32 -> Image GrayScale D32
A selective average filter is an edge preserving noise reduction filter. It is a standard gaussian filter which ignores pixel values that are more than a given threshold away from the filtered pixel value.
convolve2D :: (Point2D anchor, ELP anchor ~ Int) => Matrix D32 -> anchor -> Image GrayScale D32 -> Image GrayScale D32
haar :: IntegralImage -> (Int, Int, Int, Int) -> Image GrayScale D32
Filter the image with box shaped averaging mask.
data IntegralImage
A type for storing integral images. Integral image stores for every pixel the sum of pixels above and left of it. Such images are used for significantly accelerating the calculation of area averages.
Instances
integralImage :: Image GrayScale D32 -> IntegralImage
Calculate the integral image from the given image.