def demoThreshold(fname, threshold):
image = Image.open(fname).convert("L")
print("Image de départ (niveau de gris) :")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
imgThreshold = func.threshold_high(img, threshold)
print("Image binarisée :")
plt.imshow(imgThreshold, cmap='gray', vmin=0, vmax=1)
plt.show()
def demoErosionImage(fname, threshold, elemStruct):
image = Image.open(fname).convert("L")
print("Image de départ (niv. gris):")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
imgBin = func.threshold_high(img, threshold)
if (fname != './ressource/bin2.png' and fname != './ressource/bin1.png'):
imgBin = func.invert(imgBin)
print("Image binariser avec un seuil de ", threshold, ".")
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
print("img érodée")
imgEro = func.erosion(imgBin, elemStruct)
plt.imshow(imgEro, cmap='gray', vmin=0, vmax=1)
plt.show()
def demoSqAminHomothophiqueImg(fname, threshold):
image = Image.open(fname).convert("L")
print("Image de départ (niv. gris):")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
imgBin = func.threshold_high(img, threshold)
if (fname != './ressource/bin2.png' and fname != './ressource/bin1.png'):
imgBin = func.invert(imgBin)
print("Image binariser avec un seuil de ", threshold, ".")
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
print("img squelette [Amin. Homothopique]:")
imgSq = func.squeletteWithThinHomothopique(imgBin)
plt.imshow(imgSq, cmap='gray', vmin=0, vmax=1)
plt.show()
def demoEpaississementImage(fname, threshold):
image = Image.open(fname).convert("L")
print("Image de départ (niv. gris):")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
imgBin = func.threshold_high(img, threshold)
if (fname != './ressource/bin2.png' and fname != './ressource/bin1.png'):
imgBin = func.invert(imgBin)
print("Image binariser avec un seuil de ", threshold, ".")
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
print("img épaissie")
imgThick = func.epaississement(imgBin)
plt.imshow(imgThick, cmap='gray', vmin=0, vmax=1)
plt.show()
def testDilatation():
file3 = './ressource/logo_couleur.jpg'
fname = file3
image = Image.open(fname).convert("L")
print("Image de départ :")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
threshold = 124
imgBin = f.threshold_high(img, threshold)
print("Image binariser avec un seuil de ", threshold)
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
elemStruct = np.ones((3, 3))
imgDilate = f.dilatation(imgBin, elemStruct)
print("dilatation : ")
plt.imshow(imgDilate, cmap='gray', vmin=0, vmax=1)
plt.show()
def testFinalPart1():
file2 = './ressource/bin2.png'
fname = file2
image = Image.open(fname).convert("L")
print("Image de départ :")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
threshold = 124
imgBin = f.threshold_high(img, threshold)
print("Image binariser avec un seuil de ", threshold)
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
elemStruct = np.ones((7, 7))
imgDilate = f.dilatation(imgBin, elemStruct)
print("dilatation : ")
plt.imshow(imgDilate, cmap='gray', vmin=0, vmax=1)
plt.show()
imgErosion = f.erosion(imgBin, elemStruct)
print("erosion : ")
plt.imshow(imgErosion, cmap='gray', vmin=0, vmax=1)
plt.show()
imgOpen = f.ouverture(imgBin, elemStruct)
print("Open : ")
plt.imshow(imgOpen, cmap='gray', vmin=0, vmax=1)
plt.show()
imgClose = f.fermeture(imgBin, elemStruct)
print("Close : ")
plt.imshow(imgClose, cmap='gray', vmin=0, vmax=1)
plt.show()
#
#elemStruct = np.ones((3,3))
#
#imgDilatation = f.dilatation(img, elemStruct)
#plt.imshow(imgDilatation, cmap='gray', vmin=0, vmax=1)
#plt.show()
imgBin = np.zeros((16, 16))
imgBin[4:13, 4:13] = 1
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
fname = file3
image = Image.open(fname).convert("L")
print("Image de départ :")
plt.imshow(image, cmap='gray', vmin=0, vmax=255)
plt.show()
img = np.array(image)
threshold = 200
imgBin = f.threshold_high(img, threshold)
imgBin = f.invert(imgBin)
print("Image binariser avec un seuil de ", threshold)
plt.imshow(imgBin, cmap='gray', vmin=0, vmax=1)
plt.show()
print("img sq lantuejoul")
imgSq = f.erosion(imgBin, np.ones((3, 3)))
plt.imshow(imgSq, cmap='gray', vmin=0, vmax=1)
plt.show()
