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SAFT/main.py

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+from util import *
+from algo import *
+"""
+The A value of the algorithm is the sound speed divided by the frequency or 0.059 mm, which gives about 17 samples per mm. 
+The B value considered for this results 0,35 mm which corresponds the resolution of our transducer x-y scanning driving system.
+Dans le cas de notre etude avec le dataset Shear_transform, nous avons des fréquences nominales de 55 kHz (ondes de cisaillement)
+measurement was performed using a sampling rate of 2 MHz
+"""
+if __name__ == "__main__":
+    dossier = "Dataset/Shear_transform"
+    fichiers_selectionnes = ['Shear_x001-x101_y{:03d}_Rot00_transform.csv'.format(i) for i in range(10, 62)]
+
+    pre_volume = np.array(lire_fichier_csv(dossier, fichiers_selectionnes))
+    volume = pre_volume[:, ::4, :]
+
+    image = volume[0, :, :]
+
+    win = 10
+    A = 1
+    B = 1
+
+    # Application de l'algorithme SAFT
+    result = saft_algorithm(image, win, A, B)