GraphCutMaskingOptions Class

Summary: The GraphCut auto masking options.

Module: aspose.imaging.masking.options

Full Name: aspose.imaging.masking.options.GraphCutMaskingOptions

Inheritance: MaskingOptions

Constructors

Name	Description
GraphCutMaskingOptions()	Initializes a new instance of the GraphCutMaskingOptions class

Properties

Name	Type	Access	Description
BACKGROUND_OBJECT_NUMBER [static]	int	r	The background object number
args	IMaskingArgs	r/w	Gets or sets the arguments for segmentation algorithm.
background_replacement_color	Color	r/w	Gets or sets the background replacement color.
decompose	bool	r/w	Gets or sets a value indicating whether needless to separate each Shape from mask as individual object or as united object from mask separated from background.
export_options	ImageOptionsBase	r/w	Gets or sets the image export options.
feathering_radius	int	r/w	Gets or sets the feathering radius.
masking_area	Rectangle	r/w	Gets or sets the masking area.
method	SegmentationMethod	r/w	Gets or sets the segmentation method.

Constructor: GraphCutMaskingOptions()

 GraphCutMaskingOptions() 

Initializes a new instance of the GraphCutMaskingOptions class

Property: feathering_radius

Gets or sets the feathering radius.

See also:

Example # 1: Saving image masking result with feathering based on image size. Image maskin…

Example # 2: Saving Graph Cut image masking result with feathering set to 3. Image masking…

Examples

Saving image masking result with feathering based on image size. Image masking is performed using auto calculated default strokes. The Args property of AutoMaskingGraphCutOptions can be omitted since default strokes are placed there in the end.

import aspose.pycore as aspycore
from aspose.imaging import Image, RasterImage, Color
from aspose.imaging.sources import FileCreateSource
from aspose.imaging.fileformats.png import PngColorType
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.masking.options import AutoMaskingGraphCutOptions, SegmentationMethod
from aspose.imaging.masking import ImageMasking

results = None
with aspycore.as_of(Image.load("input.jpg"), RasterImage) as image:
	obj_init = PngOptions()
	obj_init.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
	obj_init.source = FileCreateSource("tempFile")
	options = AutoMaskingGraphCutOptions()
	options.calculate_default_strokes = True
	options.feathering_radius = (max(image.width, image.height) // 500) + 1
	options.method = SegmentationMethod.GRAPH_CUT
	options.decompose = False
	options.export_options = obj_init
	options.background_replacement_color = Color.transparent

	results = ImageMasking(image).decompose(options)

with aspycore.as_of(results[1].get_image(), RasterImage) as result_image:
	obj_init3 = PngOptions()
	obj_init3.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
	result_image.save("output.png", obj_init3)
	
# disposing
for it in results:
	with it as _:
		pass

Saving Graph Cut image masking result with feathering set to 3. Image masking is performed using specified Point array.

import aspose.pycore as aspycore
from aspose.imaging import Image, Color, RasterImage
from aspose.imaging.masking.options import AutoMaskingArgs, GraphCutMaskingOptions, SegmentationMethod
from aspose.imaging.sources import FileCreateSource
from aspose.imaging.imageoptions import PngOptions
from aspose.imaging.fileformats.png import PngColorType


with aspycore.as_of(Image.load("input.jpg"), RasterImage) as image:
	obj_init = PngOptions()
	obj_init.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
	obj_init.source = FileCreateSource("tempFile")
	obj_init2 = AutoMaskingArgs()
	obj_init2.objects_points = [[Point(100, 100)]]
	
	options = GraphCutMaskingOptions()
	options.feathering_radius = 3
	options.method = SegmentationMethod.GRAPH_CUT
	options.decompose = False
	options.export_options = obj_init
	options.background_replacement_color = Color.transparent
	options.args = obj_init2
	
	results = ImageMasking(image).decompose(options)

with aspycore.as_of(results[1].get_image(), RasterImage) as result_image:
	obj_init4 = PngOptions()
	obj_init4.color_type = PngColorType.TRUECOLOR_WITH_ALPHA
	result_image.save("output.png", obj_init4)
	
# release all sub-images
for it in results:
	with it as _:
		pass