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eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax (Operator)


eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax — Smooth an image in the spatial domain to suppress noise.


eliminate_min_max(Image : FilteredImage : MaskWidth, MaskHeight, Gap, Mode : )

Herror eliminate_min_max(const Hobject Image, Hobject* FilteredImage, const Hlong MaskWidth, const Hlong MaskHeight, double Gap, const Hlong Mode)

Herror T_eliminate_min_max(const Hobject Image, Hobject* FilteredImage, const Htuple MaskWidth, const Htuple MaskHeight, const Htuple Gap, const Htuple Mode)

Herror eliminate_min_max(Hobject Image, Hobject* FilteredImage, const HTuple& MaskWidth, const HTuple& MaskHeight, const HTuple& Gap, const HTuple& Mode)

HImage HImage::EliminateMinMax(const HTuple& MaskWidth, const HTuple& MaskHeight, const HTuple& Gap, const HTuple& Mode) const

HImageArray HImageArray::EliminateMinMax(const HTuple& MaskWidth, const HTuple& MaskHeight, const HTuple& Gap, const HTuple& Mode) const

void EliminateMinMax(const HObject& Image, HObject* FilteredImage, const HTuple& MaskWidth, const HTuple& MaskHeight, const HTuple& Gap, const HTuple& Mode)

HImage HImage::EliminateMinMax(Hlong MaskWidth, Hlong MaskHeight, double Gap, Hlong Mode) const

void HOperatorSetX.EliminateMinMax(
[in] IHUntypedObjectX* Image, [out] IHUntypedObjectX*FilteredImage, [in] VARIANT MaskWidth, [in] VARIANT MaskHeight, [in] VARIANT Gap, [in] VARIANT Mode)

IHImageX* HImageX.EliminateMinMax(
[in] Hlong MaskWidth, [in] Hlong MaskHeight, [in] double Gap, [in] Hlong Mode)

static void HOperatorSet.EliminateMinMax(HObject image, out HObject filteredImage, HTuple maskWidth, HTuple maskHeight, HTuple gap, HTuple mode)

HImage HImage.EliminateMinMax(int maskWidth, int maskHeight, double gap, int mode)


eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax smooths an image by replacing gray values with neighboring mean values, or local minima/maxima. In order to prevent edges and lines from being smoothed, only those gray values that represent local minima or maxima are replaced (if there is a line or edge within an image there will be at least one neighboring pixel with a comparable gray value). GapGapGapGapGapgap controls the strictness of replacment: Only gray values that exceed all other values within their local neighborhood more than GapGapGapGapGapgap and all values that fall below their neighboring more than GapGapGapGapGapgap are replaced: E(x,y) represents a NxM sized rectangular neighborhood of an pixel at position (x,y), containing all pixels within the neighborhood except the pixel itself;

ModeModeModeModeModemode specifies how to perform the new value in case of a replacement.

ModeModeModeModeModemode = 1 --> replace a local maximum with next minor local maximum and replace a local minimum with next bigger local minimum

ModeModeModeModeModemode = 2 --> replace with mean value of all pixels within the local neighborhood (including the replaced pixel)

ModeModeModeModeModemode = 3 --> replace with median value of all pixels within the local neighborhood (including the replaced pixel (this is default and used if ModeModeModeModeModemode has got any other value than 1 or 2)

MaskWidthMaskWidthMaskWidthMaskWidthMaskWidthmaskWidth and MaskHeightMaskHeightMaskHeightMaskHeightMaskHeightmaskHeight specifiy the width and height of the rectangular neighborhood. Border treatment: Pixels outside the image border are not considered (e.g.: With a local 3x3-mask the neighborhood of a pixel at (0,0) reduces to the pixels at (1,0),(0,1) and (1,1)).


eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax only can work on byte images (HALCON image type BYTE_IMAGE). If MaskWidthMaskWidthMaskWidthMaskWidthMaskWidthmaskWidth or MaskHeightMaskHeightMaskHeightMaskHeightMaskHeightmaskHeight is an even number, it is replaced by the next higher odd number (this allows the unique extraction of the center of the filter mask). Width/height of the mask may not exceed the image width/height.



ImageImageImageImageImageimage (input_object)  (multichannel-)image(-array) objectHImageHImageHImageHImageXHobject (byte / uint2)

Image to smooth.

FilteredImageFilteredImageFilteredImageFilteredImageFilteredImagefilteredImage (output_object)  (multichannel-)image(-array) objectHImageHImageHImageHImageXHobject * (byte / uint2)

Smoothed image.

MaskWidthMaskWidthMaskWidthMaskWidthMaskWidthmaskWidth (input_control)  extent.x HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Width of filter mask.

Default value: 3

Suggested values: 3, 5, 7, 9

Typical range of values: 3 ≤ MaskWidth MaskWidth MaskWidth MaskWidth MaskWidth maskWidth ≤ width(Image)

Minimum increment: 2

Recommended increment: 2

Restriction: odd(MaskWidth)

MaskHeightMaskHeightMaskHeightMaskHeightMaskHeightmaskHeight (input_control)  extent.y HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Height of filter mask.

Default value: 3

Suggested values: 3, 5, 7, 9

Typical range of values: 3 ≤ MaskHeight MaskHeight MaskHeight MaskHeight MaskHeight maskHeight ≤ width(Image)

Minimum increment: 2

Recommended increment: 2

Restriction: odd(MaskWidth)

GapGapGapGapGapgap (input_control)  number HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

Gap between local maximum/minimum and all other gray values of the neighborhood.

Default value: 1.0

Suggested values: 1.0, 2.0, 5.0, 10.0

ModeModeModeModeModemode (input_control)  integer HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Replacement rule (1 = next minimum/maximum, 2 = average, 3 =median).

Default value: 3

List of values: 1, 2, 3


eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax returns 2 (H_MSG_TRUE) if all parameters are correct. If the input is empty eliminate_min_maxeliminate_min_maxEliminateMinMaxeliminate_min_maxEliminateMinMaxEliminateMinMax returns with an error message.

Possible Successors

wiener_filterwiener_filterWienerFilterwiener_filterWienerFilterWienerFilter, wiener_filter_niwiener_filter_niWienerFilterNiwiener_filter_niWienerFilterNiWienerFilterNi

See also

mean_spmean_spMeanSpmean_spMeanSpMeanSp, mean_imagemean_imageMeanImagemean_imageMeanImageMeanImage, median_imagemedian_imageMedianImagemedian_imageMedianImageMedianImage, median_weightedmedian_weightedMedianWeightedmedian_weightedMedianWeightedMedianWeighted, binomial_filterbinomial_filterBinomialFilterbinomial_filterBinomialFilterBinomialFilter, gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage, smooth_imagesmooth_imageSmoothImagesmooth_imageSmoothImageSmoothImage


M. Imme:“A Noise Peak Elimination Filter”; S. 204-211 in CVGIP Graphical Models and Image Processing, Vol. 53, No. 2, March 1991
M. Lückenhaus:“Grundlagen des Wiener-Filters und seine Anwendung in der Bildanalyse”; Diplomarbeit; Technische Universität München, Institut für Informatik; Lehrstuhl Prof. Radig; 1995.



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