HALCON Reference Manual 10.0.2

highpass_imagehighpass_imagehighpass_imageHighpassImageHighpassImage (Operator)

Name

highpass_imagehighpass_imagehighpass_imageHighpassImageHighpassImage — Extract high frequency components from an image.

Signature

highpass_image(Image : Highpass : Width, Height : )

Description

highpass_imagehighpass_imagehighpass_imageHighpassImageHighpassImage extracts high frequency components in an image by applying a linear filter with the following matrix (in case of a 7x5 matrix):

     1       1       1       1       1       1       1
     1       1       1       1       1       1       1
     1       1       1      -35      1       1       1
     1       1       1       1       1       1       1
     1       1       1       1       1       1       1

This corresponds to applying a mean operator (mean_imagemean_imagemean_imageMeanImageMeanImage), and then subtracting the original gray value. A value of 128 is added to the result, i.e., zero crossings occur for 128.

This filter emphasizes high frequency components (edges and corners). The cutoff frequency is determined by the size (Height x Width) of the filter matrix: the larger the matrix, the smaller the cutoff frequency is.

At the image borders the pixels' gray values are mirrored. In case of over- or underflow the gray values are clipped (255 and 0, resp.).

Attention

If even values are passed for HeightHeightHeightHeightheight or WidthWidthWidthWidthwidth, the operator uses the next larger odd value instead. Thus, the center of the filter mask is always uniquely determined.

highpass_imagehighpass_imagehighpass_imageHighpassImageHighpassImage can be executed on OpenCL devices. The same limitations as for mean_imagemean_imagemean_imageMeanImageMeanImage and sub_imagesub_imagesub_imageSubImageSubImage apply.

Parallelization

Supports OpenCL compute devices.
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Automatically parallelized on tuple level.
Automatically parallelized on channel level.
Automatically parallelized on domain level.

Parameters

ImageImageImageImageimage (input_object) (multichannel-)image(-array) → object (byte* / uint2*) *allowed for compute devices

Input image.

HighpassHighpassHighpassHighpasshighpass (output_object) (multichannel-)image(-array) → object (byte / uint2)

High-pass-filtered result image.

WidthWidthWidthWidthwidth (input_control) extent.x → (integer)

Width of the filter mask.

Default value: 9

Suggested values: 3, 5, 7, 9, 11, 13, 17, 21, 29, 41, 51, 73, 101

Typical range of values: 3 ≤ Width Width Width Width width ≤ 501

Minimum increment: 2

Recommended increment: 2

Restriction: (Width >= 3) && odd(Width)

HeightHeightHeightHeightheight (input_control) extent.y → (integer)

Height of the filter mask.

Default value: 9

Suggested values: 3, 5, 7, 9, 11, 13, 17, 21, 29, 41, 51, 73, 101

Typical range of values: 3 ≤ Height Height Height Height height ≤ 501

Minimum increment: 2

Recommended increment: 2

Restriction: (Height >= 3) && odd(Height)

Example (C)

highpass_image(Image,&Highpass,7,5);
threshold(Highpass,&Region,60.0,255.0);
skeleton(Region,&Skeleton);

Result

highpass_imagehighpass_imagehighpass_imageHighpassImageHighpassImage returns 2 (H_MSG_TRUE) if all parameters are correct. If the input is empty the behaviour can be set via set_system('no_object_result',<Result>)set_system("no_object_result",<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>). If necessary, an exception is raised.

Operators