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"""!
@brief Examples of usage and demonstration of abilities of multi-layer oscillatory network based on Kuramoto model for image segmentation.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
from pyclustering.samples.definitions import IMAGE_SIMPLE_SAMPLES, IMAGE_MAP_SAMPLES
from pyclustering.nnet.syncsegm import syncsegm, syncsegm_visualizer
from pyclustering.utils import draw_image_mask_segments
def template_segmentation_image(source, color_radius, object_radius, noise_size, show_dyn):
algorithm = syncsegm(color_radius, object_radius, noise_size, False)
analyser = algorithm.process(source, show_dyn)
color_segments = analyser.allocate_colors(0.01, noise_size)
draw_image_mask_segments(source, color_segments)
if object_radius is not None:
object_segments = analyser.allocate_objects(0.01, noise_size)
draw_image_mask_segments(source, object_segments)
if show_dyn is True:
syncsegm_visualizer.show_first_layer_dynamic(analyser)
syncsegm_visualizer.show_second_layer_dynamic(analyser)
def segmentation_image_simple1():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE01, 128, None, 10, show_dyn = False)
def segmentation_image_simple2():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE02, 128, None, 10, show_dyn = False)
def segmentation_image_simple3():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE03, 128, None, 10, show_dyn = False)
def segmentation_image_simple4():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE04, 128, None, 10, show_dyn = False)
def segmentation_image_simple5():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE05, 128, 4, 10, show_dyn = False)
def segmentation_image_simple6():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE06, 128, 4, 10, show_dyn = True)
def segmentation_image_simple7():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE07, 128, 5, 10, show_dyn = False)
def segmentation_image_simple8():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE08, 128, 5, 10, show_dyn = False)
def segmentation_image_simple9():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE09, 128, 4, 10, show_dyn = False)
def segmentation_image_simple10():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE10, 128, 5, 10, show_dyn = False)
def segmentation_image_beach():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE_BEACH, 128, None, 10, show_dyn = False)
def segmentation_image_building():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE_BUILDING, 16, 10, 10, show_dyn = False)
def segmentation_image_fruits_small():
template_segmentation_image(IMAGE_SIMPLE_SAMPLES.IMAGE_SIMPLE_FRUITS_SMALL, 16, 4, 20, show_dyn = False)
def segmentation_image_white_sea():
template_segmentation_image(IMAGE_MAP_SAMPLES.IMAGE_WHITE_SEA, 16, None, 50, show_dyn = False)
def segmentation_image_white_sea_small():
template_segmentation_image(IMAGE_MAP_SAMPLES.IMAGE_WHITE_SEA_SMALL, 20, None, 50, show_dyn = False)
def segmentation_image_nile():
template_segmentation_image(IMAGE_MAP_SAMPLES.IMAGE_NILE, 16, None, 50, show_dyn = False)
def segmentation_image_nile_small():
template_segmentation_image(IMAGE_MAP_SAMPLES.IMAGE_NILE_SMALL, 50, None, 50, show_dyn = False)
segmentation_image_simple1()
segmentation_image_simple2()
segmentation_image_simple3()
segmentation_image_simple4()
segmentation_image_simple5()
segmentation_image_simple6()
segmentation_image_simple7()
segmentation_image_simple8()
segmentation_image_simple9()
segmentation_image_simple10()
segmentation_image_beach()
segmentation_image_building()
segmentation_image_fruits_small()
segmentation_image_white_sea()
segmentation_image_white_sea_small()
segmentation_image_nile()
segmentation_image_nile_small()
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