monotony ( Image : ImageMonotony : : )

Calculating the monotony operation.

The operator monotony calculates the monotony operator. Thereby the points which are strictly smaller than the current grayvalue will be counted in the 8 neighborhood. This number will be entered into the output imaged.

If there is a strict maximum, the value 8 is returned; in case of a minimum or a plateau, the value 0 will be returned. A ridge or a slope will return the corresponding intermediate values.

The monotony operator is often used to prepare matching operations as it is invariant with regard to lightness modifications.


Parameters

Image (input_object)
(multichannel-)image(-array) -> object : byte / int2 / uint2
Input image.

ImageMonotony (output_object)
(multichannel-)image(-array) -> object : byte / int2 / uint2
Result of the monotony operator.
Number of elements: ImageMonotony == Image


Example
/* searching the strict maximums */
gauss_image(Image,&Gauss,5);
monotony(Gauss,&Monotony);
threshold(Monotony,Maxima,8.0,8.0);

Parallelization Information

monotony is reentrant and automatically parallelized (on tuple level, channel level, domain level).


Possible Predecessors

gauss_image, median_image, mean_image, smooth_image, invert_image


Possible Successors

threshold, exhaustive_match, disp_image


Alternatives

local_max, topographic_sketch, corner_response


Module

Image filters



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