lygia/v1.2.0/math/adaptiveThreshold)adaptive threshold from https://github.com/BradLarson/GPUImage/blob/master/framework/Source/GPUImageAdaptiveThresholdFilter.m
Use:
adaptiveThreshold(<float> value, <float> blur_value [,<float> bias])
#ifndef FNC_ADAPTIVETHRESHOLD
#define FNC_ADAPTIVETHRESHOLD
float adaptiveThreshold(in float v, in float blur_v, in float b) {
return step(blur_v + b, v);
}
float adaptiveThreshold(in float v, in float blur_v) {
return step(blur_v - 0.05, v);
}
#endif
Use:
adaptiveThreshold(<float> value, <float> blur_value[, <float> bias])
#ifndef FNC_ADAPTIVETHRESHOLD
#define FNC_ADAPTIVETHRESHOLD
float adaptiveThreshold(in float value, in float blur_value, in float bias) {
return step(blur_value + bias, value);
}
float adaptiveThreshold(in float value, in float blur_value) {
return step(blur_value - 0.05, value);
}
#endif
fn adaptiveThreshold(v: f32, blur_v: f32, b: f32) -> f32 {
return step(blur_v + b, v);
}
Dependencies:
Use:
adaptiveThreshold(<float> value, <float> blur_value, <float> bias)
#ifndef FNC_ADAPTIVETHRESHOLD
#define FNC_ADAPTIVETHRESHOLD
inline __host__ __device__ float adaptiveThreshold(float value, float blur_value, float bias) {
return step(blur_value + bias, value);
}
inline __host__ __device__ float adaptiveThreshold(float value, float blur_value) {
return step(blur_value - 0.05, value);
}
#endif
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