monotony
— Calculating the monotony operation.
monotony(Image : ImageMonotony : : )
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.
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
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
/* searching the strict maximums */ gauss_filter(Image,&Gauss,5); monotony(Gauss,&Monotony); threshold(Monotony,Maxima,8.0,8.0);
binomial_filter
,
gauss_filter
,
median_image
,
mean_image
,
smooth_image
,
invert_image
threshold
,
exhaustive_match
,
disp_image
local_max
,
topographic_sketch
,
corner_response
Foundation