teraFAST_analyis_white_black

一：white_value=100 & black_value=10 & smoothness=50

import cv2
import numpy as np

dir_path='/Users/xxxx/Desktop/Share Folder/png&dat/new_img.png'
data=cv2.imread(dir_path)

def controlFuncBW(x):
    return (float(x)/100)**2
    
def SetContrast(black,white): 
    contrast =  1/float(white-black) if white-black>0.01 else 100
    return contrast
    
def SetBrightness(black,white):
    brightness = float(black)
    return brightness
    
def SetSmoothness(val):
    smoothness=float(val)/100
    return smoothness

white_value=100
black_value=10
white=controlFuncBW(white_value)
black=controlFuncBW(black_value)
contrast=SetContrast(black,white)
brightness=SetBrightness(black,white)
smoothness=SetSmoothness(50)

x=np.clip((255*contrast*(data-brightness)),0,255).astype(np.uint8)
GaussianBlur=cv2.GaussianBlur(new_image,(3,3),smoothness)
medianBlur=cv2.medianBlur(new_image,3)
cv2.imshow('GaussianBlur',GaussianBlur)
cv2.imshow('medianBlur',medianBlur)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.waitKey(1)

原圖：

GaussianBlur：

medianBlur：

二：white_value=10 & black_value=100 & smoothness=50

white_value=10
black_value=100
white=controlFuncBW(white_value)
black=controlFuncBW(black_value)
contrast=SetContrast(black,white)
brightness=SetBrightness(black,white)
smoothness=SetSmoothness(50)

x=np.clip((255*contrast*(data-brightness)),0,255).astype(np.uint8)
GaussianBlur=cv2.GaussianBlur(new_image,(3,3),smoothness)
medianBlur=cv2.medianBlur(new_image,3)
cv2.imshow('GaussianBlur',GaussianBlur)
cv2.imshow('medianBlur',medianBlur)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.waitKey(1)

GaussianBlur：

medianBlur：