| Safe Haskell | None |
|---|
CV.Features
- data SURFParams
- defaultSURFParams :: SURFParams
- mkSURFParams :: Double -> Int -> Int -> Bool -> SURFParams
- getSURF :: SURFParams -> Image GrayScale D8 -> Maybe (Image GrayScale D8) -> [(C'CvSURFPoint, [Float])]
- getMSER :: (Point2D a, ELP a ~ Int) => Image GrayScale D8 -> Maybe (Image GrayScale D8) -> MSERParams -> [[a]]
- data MSERParams
- mkMSERParams :: Int -> Int -> Int -> Float -> Float -> Int -> Double -> Double -> Int -> MSERParams
- defaultMSERParams :: MSERParams
- moments :: Image GrayScale D32 -> Moments
- type Moments = C'CvMoments
- getSpatialMoment :: (Int, Int) -> Moments -> Double
- getCentralMoment :: (Int, Int) -> Moments -> Double
- getNormalizedCentralMoment :: (Int, Int) -> Moments -> Double
Documentation
defaultSURFParams :: SURFParamsSource
Default parameters for getSURF
Arguments
| :: Double | only features with keypoint.hessian larger than that are extracted. good default value is ~300-500 (can depend on the average local contrast and sharpness of the image). user can further filter out some features based on their hessian values and other characteristics. |
| -> Int | The number of octaves to be used for extraction. With each next octave the feature size is doubled (3 by default) |
| -> Int | The number of layers within each octave (4 by default) |
| -> Bool | If true, getSurf returns extended descriptors of 128 floats. Otherwise returns 64 floats. |
| -> SURFParams |
Arguments
| :: SURFParams | Method parameters. See |
| -> Image GrayScale D8 | Input GrayScale image |
| -> Maybe (Image GrayScale D8) | Optional Binary mask image |
| -> [(C'CvSURFPoint, [Float])] |
Extract Speeded Up Robust Features from an image.
getMSER :: (Point2D a, ELP a ~ Int) => Image GrayScale D8 -> Maybe (Image GrayScale D8) -> MSERParams -> [[a]]Source
The function encapsulates all the parameters of the MSER extraction algorithm (see http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions
data MSERParams Source
Instances
Arguments
| :: Int | Delta |
| -> Int | prune the area which bigger than maxArea |
| -> Int | prune the area which smaller than minArea |
| -> Float | prune the area have similar size to its children |
| -> Float | trace back to cut off mser with diversity < min_diversity |
| -> Int | for color image, the evolution steps |
| -> Double | the area threshold to cause re-initialize |
| -> Double | ignore too small margin |
| -> Int | the aperture size for edge blur |
| -> MSERParams |
Create parameters for getMSER.
type Moments = C'CvMomentsSource