def test_3_c(imageName):
img = cv2.imread(imageName)
histEqRes = ex1.getHistEqImage(img)
hist = ex1.getImageHistogram(img)
hist_eq = ex1.getImageHistogram(histEqRes)
f, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(3,
2,
sharex='col',
sharey='row')
ax1.imshow(img, cmap='gray'), ax1.set_title('Original')
ax2.imshow(histEqRes, cmap='gray'), ax2.set_title('Histogram equalizaed')
x = np.arange(0, 256, 1)
ax3.bar(x, hist, color="blue"), ax3.set_xlim([0,
255]), ax3.autoscale(False)
ax4.bar(x, hist_eq,
color="blue"), ax4.set_xlim([0, 255]), ax4.autoscale(False)
ax5.plot(x, np.cumsum(hist),
color="blue"), ax5.set_xlim([0, 255]), ax5.autoscale(False)
ax6.plot(x, np.cumsum(hist_eq),
color="blue"), ax6.set_xlim([0, 255]), ax6.autoscale(False)
def test_3_a(imageName):
img = cv2.imread(imageName)
hist = ex1.getImageHistogram(img)
x = np.arange(0, 256, 1)
plt.figure()
plt.bar(x, hist, color="blue")
def test_3_b(imageName):
img = cv2.imread(imageName)
hist = ex1.getImageHistogram(img)
img_c = ex1.getConstrastStrechedImage(img)
hist_c = ex1.getImageHistogram(img_c)
f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,
2,
sharex='col',
sharey='row')
ax1.imshow(img, cmap='gray'), ax1.set_title('Original')
ax2.imshow(img_c, cmap='gray'), ax2.set_title('Contrast enhanced')
x = np.arange(0, 256, 1)
ax3.bar(x, hist, color="blue"), ax3.set_xlim([0, 255])
ax4.bar(x, hist_c, color="blue"), ax4.set_xlim([0, 255])