Point operation
#include "dip_point.h"
dip_Error dip_ContrastStretch ( in, out, lowerBound, upperBound, outMaximum, outMinimum, method, sigmoidSlope, sigmoidPoint, maxDecade )
integer, float
ContrastStretch stretches the pixel values of the input image. Pixel values higher or equal to UpperBound are stretched to the OutMaximum value. A similar thing holds for LowerBound and OutMinimum. Method determines how pixel values are stretched. SigmoidSlope and SigmoidPoint are used by the DIP_CST_SIGMOID method. MaxDecade determines the maximum number of decades the method DIP_CST_DECADE will stretch (values lower than MaxDecade will be set to zero).
Data type | Name | Description |
dip_Image | in | Input |
dip_Image | out | Output |
dip_float | lowerBound | LowerBound (%) |
dip_float | upperBound | UpperBound (%) |
dip_float | outMax | OutMaximum |
dip_float | outMin | OutMinimum |
dipf_ContrastStretch | method | Method |
dip_float | sigmoidSlope | SigmoidSlope |
dip_float | sigmoidPoint | SigmoidPoint |
dip_float | maxDecade | MaxDecade |
The following dipf_ContrastStretch flags are defined:
Name | Description |
DIP_CST_LINEAR | linear contrast stretch |
DIP_CST_SIGNED_LINEAR | linear stretch with zero at fixed value |
DIP_CST_LOGARITHMIC | logarithmic contrast stretch |
DIP_CST_SIGNED_LOGARITHMIC | signed logarithmic contrast stretch |
DIP_CST_ERF | linear contrast stretch with erf clipping |
DIP_CST_DECADE | Decade contrast stretching |
DIP_CST_SIGMOID | Contrast stretched by sigmoid function |
DIP_CST_CLIP | Simple clipping |
DIP_CST_01 | Stretching of [0,1] input values |
DIP_CST_PI | Stretching of [-Pi,Pi] input values |
In the explanaition of the different contrast stretch flags, the variables input, output, inMin, inMax, outMin and outMax are used. With input and output is meant the pixel being processed of respecitively the input and output image. inMin and inMax are the pixel values corresponding to the lowerBound and upperBound of the input image. outMin and outMax are parameters passed to the function dip_ContrastStretch.
The DIP_CST_LINEAR stretches the input in the following way:
scale = (outMax - outMin) / (inMax - inMin) output = scale * (MIN(inMax, MAX(inMin, input )) - inMin) + outMin
The DIP_CST_SIGNED_LINEAR stretches the input in the following way:
max = MAX(inMax, ABS( inMin )); scale = (outMax - outMin) / (2 * max) offset = (outMax - outMin)/ 2 output = scale * (MIN(inMax, MAX(inMin, input)) - offset) + outMin
The DIP_CST_LOGARITHMIC stretches the input in the following way:
scale = (outMax - outMin) / log( inMax - inMin + 1) offset = inMin - 1 output = scale * log(MIN(inMax, MAX(inMin, input)) - offset) + outMin
The DIP_CST_SIGNED_LOGARITHMIC stretches the input in the following way:
max = MAX(inMax, ABS( inMin )) scale = (outMax - outMin) / (2 * log( max + 1)) offset = (outMax + outMin)/ 2 output = scale * log(MIN(inMax, MAX(inMin, input))- offset) + outMin
The DIP_CST_ERF stretches the input in the following way:
scale = (outMax - outMin) / (inMax - inMin) threshold = (inMax + inMin)/ 2 range = inMax - inMin in = MIN(inMax, MAX(inMin, input)) out = (range / 2) * erf( SQRT_PI * (in - threshold) / range ) output = scale * (out + threshold ) + outMin
The DIP_CST_DECADE stretches the input in the following way:
inScale = inMax - inMin outScale = outMax - outMin in = MIN(inMax, DIP_MAX(inMin, input)) decade = log10(inScale / ( in - inMin + EPSILON)) if(decade < maxDecade) decade -= floor(decade) output = outScale * (1 - decade) + outMin else output = 0
The DIP_CST_SIGMOID stretches the input in the following way:
SIGMOID(x) = x / (1. + ABS(x)) min = SIGMOID(sigmoidSlope * inMin + sigmoidPoint) max = SIGMOID(sigmoidSlope * inMax + sigmoidPoint) scale = (outMax - outMin) /(max - min) in = MIN(inMax, MAX(inMin, input)) output = scale * (SIGMOID(slope * in + point) - min) + outMin
The DIP_CST_CLIP stretches the input in the following way:
output = MIN(outMax, MAX(outMin, input))
The DIP_CST_01 stretches the input in the following way:
scale = (outMax - outMin) output = scale * input + outMin
The DIP_CST_01 stretches the input in the following way:
scale = (outMax - outMin) / 2 * Pi output = scale * (input + Pi) + outMin
See section 9.1, "Histogram-based operations", in "Fundamentals of Image Processing".
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