pyclustering.nnet.syncsegm.syncsegm_analyser Class Reference

Performs analysis of output dynamic of the double-layer oscillatory network 'syncsegm' to extract information about segmentation results. More...

Public Member Functions
def	__init__ (self, color_analyser, object_segment_analysers=None)
	Constructor of the analyser. More...
def	get_first_layer_analyser (self)
	Returns analyser of coloring segmentation of the first layer.
def	get_second_layer_analysers (self)
	Returns analysers of object segmentation of the second layer.
def	allocate_colors (self, eps=0.01, noise_size=1)
	Allocates color segments. More...
def	allocate_objects (self, eps=0.01, noise_size=1)
	Allocates object segments. More...

Detailed Description

Performs analysis of output dynamic of the double-layer oscillatory network 'syncsegm' to extract information about segmentation results.

Definition at line 63 of file syncsegm.py.

Constructor & Destructor Documentation

__init__()

def pyclustering.nnet.syncsegm.syncsegm_analyser.__init__	(		self,
			color_analyser,
			object_segment_analysers = None
	)

Constructor of the analyser.

Parameters

[in]	color_analyser	(list): Analyser of coloring segmentation results of the first layer.
[in]	object_segment_analysers	(list): Analysers of objects on image segments - results of the second layer.

Definition at line 69 of file syncsegm.py.

Member Function Documentation

allocate_colors()

def pyclustering.nnet.syncsegm.syncsegm_analyser.allocate_colors	(		self,
			eps = 0.01,
			noise_size = 1
	)

Allocates color segments.

Parameters

[in]	eps	(double): Tolerance level that define maximal difference between phases of oscillators in one segment.
[in]	noise_size	(uint): Threshold that defines noise - segments size (in pixels) that is less then the threshold is considered as a noise.

Returns

(list) Color segments where each color segment consists of indexes of pixels that forms color segment.

Definition at line 100 of file syncsegm.py.

allocate_objects()

def pyclustering.nnet.syncsegm.syncsegm_analyser.allocate_objects	(		self,
			eps = 0.01,
			noise_size = 1
	)

Allocates object segments.

Parameters

[in]	eps	(double): Tolerance level that define maximal difference between phases of oscillators in one segment.
[in]	noise_size	(uint): Threshold that defines noise - segments size (in pixels) that is less then the threshold is considered as a noise.

Returns

(list) Object segments where each object segment consists of indexes of pixels that forms object segment.

Definition at line 116 of file syncsegm.py.

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The documentation for this class was generated from the following file:

• pyclustering/nnet/syncsegm.py