add background foreground seperation

playground/morphological_filters(anticracks).py

 import cv2
 import numpy as np
 # out = cv2.imread('../images/images_imdahl/Giotto_di_Bondone_-_Joachims_Dream_-_Capella_degli_Scrovegni.jpg')
-out = cv2.imread('/Users/Tilman/Documents/Programme/Python/forschungspraktikum/art-structures-env/src/images/out/images_imdahl/kmeans_output_canvas/new2/658px-Giotto_di_Bondone_-_No._3_Scenes_from_the_Life_of_Joachim_-_3._Annunciation_to_St_Anne_-_WGA09171.png_kmeans_temp_save_after.jpg')
+out = cv2.imread('/Users/Tilman/Documents/Programme/Python/forschungspraktikum/art-structures-env/src/images/out/images_imdahl/kmeans_output_canvas/final/658px-Giotto_di_Bondone_-_No._3_Scenes_from_the_Life_of_Joachim_-_3._Annunciation_to_St_Anne_-_WGA09171.jpg_inkm_step5_kmean_binarization.jpg')
 # out = cv2.GaussianBlur(out,(5,5),0)
 # out = cv2.medianBlur(out,3)             #smoothen cracks
-out = cv2.medianBlur(out,13)             #smoothen cracks
-out = cv2.bilateralFilter(out,30,60,60)   #remove cracks
-out = cv2.medianBlur(out,13)             #smoothen cracks
+#remove small kmeans fragments
+kernel = np.array([
+    [0,0,1,0,0],
+    [0,1,1,1,0],
+    [0.5,1,1,1,1],
+    [0,1,1,1,0],
+    [0,0,0.5,0,0]], dtype=np.uint8)
+# out = cv2.medianBlur(out,53) 
+# out = cv2.medianBlur(out,53) 
+out = cv2.erode(out,kernel,iterations = 10)
+out = cv2.dilate(out,kernel,iterations = 10)
+out = cv2.dilate(out,kernel,iterations = 10)
+out = cv2.erode(out,kernel,iterations = 10)
+# out = cv2.bilateralFilter(out,20,60,60)
+# out = cv2.medianBlur(out,7)        
 # out = cv2.medianBlur(out,13)             #smoothen cracks
 # out = cv2.bilateralFilter(out,30,90,90)   #remove cracks