Herror ::div_image (
    Hobject Image1,
    Hobject Image2,
    Hobject *ImageResult,
    const HTuple &Mult,
    const HTuple &Add
)
HImage HImage::DivImage (
    const HImageArray &Image2,
    const HTuple &Mult,
    const HTuple &Add
) const
HImageArray HImageArray::DivImage (
    const HImageArray &Image2,
    const HTuple &Mult,
    const HTuple &Add
) const

Divide two images.

The operator ::div_image divides two images. The gray values (g1,g2) of the input images (Image1) are transformed as follows: g' := g1 / g2 * Mult + Add If an overflow or an underflow occurs the values are clipped.

Several images can be processed in one call. In this case both input parameters contain the same number of images which are then processed in pairs. An output image is generated for every pair.


Parameters

Image1 (input_object)
(multichannel-)image(-array) -> Hobject: HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
Image(s) 1.

Image2 (input_object)
(multichannel-)image(-array) -> Hobject: HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
Image(s) 2.

ImageResult (output_object)
(multichannel-)image(-array) -> Hobject * : HImage(Array) ( byte / int1 / int2 / int4 / real / complex )
Result image(s) by the division.

Mult (input_control)
number -> HTuple.double / long
Factor for gray range adaption.
Default value: 255
Suggested values: 0.1, 0.2, 0.5, 1.0, 2.0, 3.0, 10, 100, 500, 1000
Typical range of values: -1000 <= Mult <= 1000
Minimum increment: 0.001
Recommended increment: 1

Add (input_control)
number -> HTuple.double / long
Value for gray range adaption.
Default value: 0
Suggested values: 0.0, 128.0, 256.0, 1025
Typical range of values: -1000 <= Add <= 1000
Minimum increment: 0.01
Recommended increment: 1.0


Example
read_image(&Image0,"fabrik");
disp_image(Image0,WindowHandle);
read_image(&Image1,"Affe");
disp_image(Image1,WindowHandle);
div_image(Image0,Image1,&Result,2.0,10.0);
disp_image(Result,WindowHandle); 

Result

The operator ::div_image returns the value H_MSG_TRUE if the parameters are correct. The behavior in case of empty input (no input images available) is set via the operator ::set_system('no_object_result',<Result>) If necessary an exception handling is raised.


Alternatives

::add_image, ::sub_image, ::mult_image


See also

::add_image, ::sub_image, ::mult_image


Module

Image filters



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