boofcv.alg.feature.disparity

Interface DisparitySelect<Array,T extends boofcv.struct.image.ImageGray>

All Known Implementing Classes:

ImplSelectRectBasicWta_F32_U8, ImplSelectRectBasicWta_S32_U8, ImplSelectRectStandard_F32_U8, ImplSelectRectStandard_S32_U8, ImplSelectRectStandardBase_F32, ImplSelectRectStandardBase_S32, SelectRectBasicWta, SelectRectStandard, SelectRectSubpixel.F32_F32, SelectRectSubpixel.S32_F32

public interface DisparitySelect<Array,T extends boofcv.struct.image.ImageGray>

Selects the best disparity given the set of scores calculated by DisparityScoreSadRect. The scores are provided as an array of integers or floats. A disparity of zero either means no match was found or the disparity was in fact zero.

The selected disparity written into the output image is equal to the found disparity minus the minDisparity. If a pixel is found to be invalid and no disparity found then its value is set to (maxDisparity-minDisparity) + 1. The first requirement maximizes the useful storage of the output image and the second provides an unambiguous way to identify invalid pixels.

Method Summary

Modifier and Type	Method and Description
void	configure(T imageDisparity, int minDisparity, int maxDisparity, int radiusX) Specifies the output and algorithmic configuration.
java.lang.Class<T>	getDisparityType() Type of image the disparity is
void	process(int row, Array scoresArray) Processes the array of scores.

Method Detail

configure

void configure(T imageDisparity,
               int minDisparity,
               int maxDisparity,
               int radiusX)

Specifies the output and algorithmic configuration.

Parameters:

imageDisparity - Output disparity image.

minDisparity - Minimum disparity that can be computed

maxDisparity - Maximum disparity that is calculated

radiusX - Radius of the rectangular region being matched along x-axis.

process

void process(int row,
             Array scoresArray)

Processes the array of scores. The score format is described in DisparityScoreSadRect. The results are written directly into the disparity image passed to it in configure(ImageGray, int, int, int).

Parameters:

row - Image row the scores are from.

scoresArray - Array containing scores. (int[] or float[])

getDisparityType

java.lang.Class<T> getDisparityType()

Type of image the disparity is

Returns:

Image type for disparity