def histogram3DResult(image_file, num_bins=32, image=None, tile=None):
image_name = os.path.basename(image_file)
if image is None:
image_name = os.path.basename(image_file)
image_name = os.path.splitext(image_name)[0]
image = loadRGB(image_file)
if tile is None:
tile = image
fig_w = 10
fig_h = 6
fig = plt.figure(figsize=(fig_w, fig_h))
fig.subplots_adjust(left=0.05, bottom=0.05, right=0.95, top=0.95, wspace=0.02, hspace=0.2)
font_size = 15
fig.suptitle("Hisotogram 3D", fontsize=font_size)
h, w = image.shape[:2]
fig.add_subplot(231)
plt.title("Original Image: %s x %s" % (w, h), fontsize=font_size)
plt.imshow(tile)
plt.axis('off')
color_spaces = ["rgb", "Lab", "hsv"]
plot_id = 234
for color_space in color_spaces:
ax = fig.add_subplot(plot_id, projection='3d')
plotHistogram3D(image, num_bins, color_space, ax)
plot_id += 1
result_name = image_name + "_hist3D"
result_file = resultFile(result_name)
plt.savefig(result_file, transparent=True)
def histogram3DResult(image_file, num_bins=32, image=None, tile=None):
image_name = os.path.basename(image_file)
if image is None:
image_name = os.path.basename(image_file)
image_name = os.path.splitext(image_name)[0]
image = loadRGB(image_file)
if tile is None:
tile = image
fig_w = 10
fig_h = 6
fig = plt.figure(figsize=(fig_w, fig_h))
fig.subplots_adjust(left=0.05,
bottom=0.05,
right=0.95,
top=0.95,
wspace=0.02,
hspace=0.2)
font_size = 15
fig.suptitle("Hisotogram 3D", fontsize=font_size)
h, w = image.shape[:2]
fig.add_subplot(231)
plt.title("Original Image: %s x %s" % (w, h), fontsize=font_size)
plt.imshow(tile)
plt.axis('off')
color_spaces = ["rgb", "Lab", "hsv"]
plot_id = 234
for color_space in color_spaces:
ax = fig.add_subplot(plot_id, projection='3d')
plotHistogram3D(image, num_bins, color_space, ax)
plot_id += 1
result_name = image_name + "_hist3D"
result_file = resultFile(result_name)
plt.savefig(result_file, transparent=True)
def histogram1DResult(image_file, num_bins=32, image=None, tile=None):
image_name = os.path.basename(image_file)
if image is None:
image_name = os.path.basename(image_file)
image_name = os.path.splitext(image_name)[0]
image = loadRGB(image_file)
if tile is None:
tile = image
fig_w = 10
fig_h = 6
fig = plt.figure(figsize=(fig_w, fig_h))
fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.95, wspace=0.3, hspace=0.2)
font_size = 15
fig.suptitle("Hisotogram 1D", fontsize=font_size)
h, w = image.shape[:2]
fig.add_subplot(231)
plt.title("Original Image: %s x %s" % (w, h), fontsize=font_size)
plt.imshow(tile)
plt.axis('off')
color_targets = [["Lab", 0], ["hsv", 0], ["hsv", 2]]
plot_id = 234
for color_target in color_targets:
ax = fig.add_subplot(plot_id)
color_space, channel = color_target
plotHistogram1D(image, num_bins, color_space, channel, ax)
plot_id += 1
result_name = image_name + "_hist1D"
result_file = resultFile(result_name)
plt.savefig(result_file, transparent=True)
