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Fehler im Algorithmus gefunden

Anders als im Paper werden die RGB Werte nicht in der Reihenfolge Rot Grün Blau (RGB), sondern in OpenCV als Blau grün rot (BGR) abgespeichert.
Also ist ein e Funktion zum "Umdrehen" der Matrix nötig!
master
Max Sponsel 4 years ago
parent
commit
e7eead37ee
2 changed files with 11 additions and 14 deletions
  1. 9
    9
      .idea/workspace.xml
  2. 2
    5
      Code/Dyschromasie.py

+ 9
- 9
.idea/workspace.xml View File

@@ -77,28 +77,28 @@
<screen x="0" y="0" width="1920" height="1040" />
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<screen x="0" y="0" width="1920" height="1040" />
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<screen x="0" y="0" width="1920" height="1040" />
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</component>
<component name="com.intellij.coverage.CoverageDataManagerImpl">
<SUITE FILE_PATH="coverage/Projekt_Dyschromasie$Dyschromasie.coverage" NAME="Dyschromasie Coverage Results" MODIFIED="1593693827197" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/Code" />
<SUITE FILE_PATH="coverage/Projekt_Dyschromasie$Dyschromasie.coverage" NAME="Dyschromasie Coverage Results" MODIFIED="1594303176426" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/Code" />
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</project>

+ 2
- 5
Code/Dyschromasie.py View File

@@ -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

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