- All Implemented Interfaces:
Fiducial which uses images to describe arbitrary binary patterns. When useing this fiducial it's up to the user to select good images which will provide unique orientation and are easily distinguished against other patterns and noise insensitive.
The above image visually shows the fiducials internal coordinate system. The center of the fiducial is the origin of the coordinate system, e.g. all sides are width/2 distance away from the origin. +x is to the right, +y is up , and +z out of the paper towards the viewer.
A good pattern will have thick lines or thick shapes. When detecting the image it's not uncommon for the distortion removal to be off by one or two pixels. So think lines are be completely out of synch. The image should also be chosen so that there is to rotational ambiguity. A perfect circle in the center is an example of a bad fiducial in which orientation can't be uniquely determined.
Nested Class SummaryModifier and TypeClassDescription
static classdescription of an image in 4 different orientations
Method SummaryModifier and TypeMethodDescription
intAdds a new image to the detector.
protected static voidConverts a binary image into the compressed bit format
(short a, short b)Computes the hamming score between two descriptions.
(GrayF32 gray, BaseDetectFiducialSquare.Result result, double edgeInside, double edgeOutside)Processes the detected square and matches it to a known fiducial.
Methods inherited from class boofcv.alg.fiducial.square.BaseDetectFiducialSquare
computeFractionBoundary, configure, getBinary, getFound, process, setVerbose
(InputToBinary<T> inputToBinary, DetectPolygonBinaryGrayRefine<T> quadDetector, double borderWidthFraction, double minimumBlackBorderFraction, double matchThreshold, Class<T> inputType)Configures the fiducial detector
matchThreshold- Considered a match if the hamming distance is less than this fraction of the maximum
addPatternpublic int addPattern
(GrayU8 inputBinary, double lengthSide)Adds a new image to the detector. Image must be gray-scale and is converted into a binary image using the specified threshold. All input images are rescaled to be square and of the appropriate size. Thus the original shape of the image doesn't matter. Square shapes are highly recommended since that's what the target looks like.
inputBinary- Binary input image pattern. 0 = black, 1 = white.
lengthSide- How long one of the sides of the target is in world units.
- The ID of the provided image
binaryToDefprotected static void binaryToDef
(GrayU8 binary, short desc)Converts a binary image into the compressed bit format
processSquareprotected boolean processSquare
(GrayF32 gray, BaseDetectFiducialSquare.Result result, double edgeInside, double edgeOutside)Description copied from class:
BaseDetectFiducialSquareProcesses the detected square and matches it to a known fiducial. Black border is included.
- Specified by:
BaseDetectFiducialSquare<T extends ImageGray<T>>
gray- Image of the undistorted square
result- Which target and its orientation was found
edgeInside- Average pixel value along edge inside
edgeOutside- Average pixel value along edge outside
- true if the square matches a known target.
hammingprotected int hamming
(short a, short b)Computes the hamming score between two descriptions. Larger the number better the fit