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Task/Hough-transform/Haskell/hough-transform-1.hs
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Task/Hough-transform/Haskell/hough-transform-1.hs
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import Control.Monad (forM_, when)
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import Data.Array ((!))
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import Data.Array.ST (newArray, writeArray, readArray, runSTArray)
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import qualified Data.Foldable as F (maximum)
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import System.Environment (getArgs, getProgName)
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-- Library JuicyPixels:
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import Codec.Picture
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(DynamicImage(ImageRGB8, ImageRGBA8), Image, PixelRGB8(PixelRGB8),
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PixelRGBA8(PixelRGBA8), imageWidth, imageHeight, pixelAt,
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generateImage, readImage, pixelMap, savePngImage)
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import Codec.Picture.Types (extractLumaPlane, dropTransparency)
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dot
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:: Num a
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=> (a, a) -> (a, a) -> a
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dot (x1, y1) (x2, y2) = x1 * x2 + y1 * y2
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mag
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:: Floating a
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=> (a, a) -> a
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mag a = sqrt $ dot a a
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sub
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:: Num a
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=> (a, a) -> (a, a) -> (a, a)
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sub (x1, y1) (x2, y2) = (x1 - x2, y1 - y2)
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fromIntegralP
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:: (Integral a, Num b)
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=> (a, a) -> (b, b)
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fromIntegralP (x, y) = (fromIntegral x, fromIntegral y)
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{-
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Create a Hough space image with y+ measuring the distance from
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the center of the input image on the range of 0 to half the hypotenuse
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and x+ measuring from [0, 2 * pi].
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The origin is in the upper left, so y is increasing down.
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The image is scaled according to thetaSize and distSize.
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-}
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hough :: Image PixelRGB8 -> Int -> Int -> Image PixelRGB8
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hough image thetaSize distSize = hImage
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where
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width = imageWidth image
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height = imageHeight image
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wMax = width - 1
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hMax = height - 1
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xCenter = wMax `div` 2
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yCenter = hMax `div` 2
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lumaMap = extractLumaPlane image
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gradient x y =
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let orig = pixelAt lumaMap x y
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x_ = pixelAt lumaMap (min (x + 1) wMax) y
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y_ = pixelAt lumaMap x (min (y + 1) hMax)
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in fromIntegralP (orig - x_, orig - y_)
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gradMap =
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[ ((x, y), gradient x y)
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| x <- [0 .. wMax]
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, y <- [0 .. hMax] ]
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-- The longest distance from the center, half the hypotenuse of the image.
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distMax :: Double
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distMax = (sqrt . fromIntegral $ height ^ 2 + width ^ 2) / 2
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{-
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The accumulation bins of the polar values.
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For each value in the gradient image, if the gradient length exceeds
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some threshold, consider it evidence of a line and plot all of the
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lines that go through that point in Hough space.
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-}
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accBin =
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runSTArray $
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do arr <- newArray ((0, 0), (thetaSize, distSize)) 0
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forM_ gradMap $
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\((x, y), grad) -> do
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let (x_, y_) = fromIntegralP $ (xCenter, yCenter) `sub` (x, y)
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when (mag grad > 127) $
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forM_ [0 .. thetaSize] $
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\theta -> do
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let theta_ =
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fromIntegral theta * 360 / fromIntegral thetaSize / 180 *
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pi :: Double
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dist = cos theta_ * x_ + sin theta_ * y_
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dist_ = truncate $ dist * fromIntegral distSize / distMax
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idx = (theta, dist_)
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when (dist_ >= 0 && dist_ < distSize) $
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do old <- readArray arr idx
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writeArray arr idx $ old + 1
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return arr
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maxAcc = F.maximum accBin
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-- The image representation of the accumulation bins.
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hTransform x y =
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let l = 255 - truncate ((accBin ! (x, y)) / maxAcc * 255)
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in PixelRGB8 l l l
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hImage = generateImage hTransform thetaSize distSize
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houghIO :: FilePath -> FilePath -> Int -> Int -> IO ()
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houghIO path outpath thetaSize distSize = do
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image <- readImage path
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case image of
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Left err -> putStrLn err
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Right (ImageRGB8 image_) -> doImage image_
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Right (ImageRGBA8 image_) -> doImage $ pixelMap dropTransparency image_
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_ -> putStrLn "Expecting RGB8 or RGBA8 image"
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where
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doImage image = do
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let houghImage = hough image thetaSize distSize
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savePngImage outpath $ ImageRGB8 houghImage
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main :: IO ()
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main = do
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args <- getArgs
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prog <- getProgName
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case args of
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[path, outpath, thetaSize, distSize] ->
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houghIO path outpath (read thetaSize) (read distSize)
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_ ->
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putStrLn $
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"Usage: " ++ prog ++ " <image-file> <out-file.png> <width> <height>"
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1
Task/Hough-transform/Haskell/hough-transform-2.hs
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1
Task/Hough-transform/Haskell/hough-transform-2.hs
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HoughTransform Pentagon.png hough.png 360 360
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