diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 3204be0..4a3f7ba 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -77,28 +77,28 @@
-
+
-
-
+
+
-
-
+
+
-
-
+
+
-
+
-
+
\ No newline at end of file
diff --git a/Code/Dyschromasie.py b/Code/Dyschromasie.py
index 4c47eae..4060cd5 100644
--- a/Code/Dyschromasie.py
+++ b/Code/Dyschromasie.py
@@ -3,6 +3,7 @@ import tkinter # Zum Erstellen von GUIs
import numpy as np # Numpy Import
import sys
+
# Einlesen des Bildes
script_dir = sys.path[0]
path = script_dir[:-4] + "Beispielbilder\grocery_store.jpg"
@@ -12,7 +13,6 @@ rows = image.shape[0] # Auslesen der Zeilenanzahl
cols = image.shape[1] # Auslesen der Spaltenanzahl
kanaele = image.shape[2] # Auslesen der Kanaele (3 fuer RGB, 1 fuer Graubild)
-
def gammaCorrection(v):
if v <= 0.04045 * 255:
return float(((v / 255) / 12.92))
@@ -62,8 +62,6 @@ T_reversed = np.array([[5.47221206, -4.6419601, 0.16963708],
[-1.1252419, 2.29317094, -0.1678952],
[0.02980165, -0.19318073, 1.16364789]])
-# Simulationsmatrizen fuer Protanop
-
S_p = np.array([[0, 1.05118294, -0.05116099], #Simulationsmatrix fuer Protanopie
[0, 1, 0],
[0, 0, 1]])
@@ -80,7 +78,7 @@ S_t = np.array([[1, 0, 0], #Simulationsmatrix fuer Tritanopi
#Multiplikation der einzelnen Pixel
for i in range(rows):
for j in range(cols):
- cb_image[i,j] = T_reversed.dot(S_p).dot(T).dot(cb_image[i,j])
+ cb_image[i,j] = T_reversed.dot(S_p).dot(T).dot(cb_image[i,j]) #ToDo Statt RBG ist noch BGR
sim_image = np.copy(cb_image)
sim_image = sim_image.astype('uint8')
@@ -91,7 +89,6 @@ for i in range(rows):
for x in range(3):
sim_image[i, j, x] = reverseGammaCorrection(cb_image[i, j, x])
-
cv2.namedWindow("Display") # Displaywindow erstellen
cv2.imshow("Display", sim_image) # Bild zeigen
cv2.waitKey(0) # Fenster offen halten