ImageSegmentationComponents

ImageSegmentationComponents[image]

performs a global segmentation of image and returns a label matrix of components.

ImageSegmentationComponents[image,spec]

segments an image into components based on the given spec.

Details and Options

  • ImageSegmentationComponents is a high-level image segmentation that can either segment the whole image or segment specified objects and components in an image.
  • The following specifications spec can be given:
  • possegments a component specified by an {x,y} coordinate
    {pos1,pos2,…}attempts to segment the image into components corresponding to every posi
    {{pos11,pos12,…},{pos21,…},…}specify each component with a list of positions
    Rectangle[…]specify each component with a bounding box
    {Rectangle[…],Rectangle[…],…}a list of bounding boxes, one for each component
  • When multiple positions or rectangles are provided, a segment is computed for every marker. If different markers generate significantly overlapping components, the less dominant segment will be suppressed.
  • The following options can be given:
  • PerformanceGoal Automaticaspects of performance to try to optimize
    TargetDevice"CPU"the target device on which to perform training
  • Possible settings for PerformanceGoal include:
  • Automaticautomatic tradeoff between speed and quality
    "Balanced"medium quality for average speed
    "Quality"optimize for quality of final results
    "Speed"optimize for speed of getting results

Examples

open allclose all

Basic Examples  (1)

Segment an image:

Scope  (3)

Segment an image and colorize the segments:

Highlight segments on the image:

Generate a mask for a segment indicated by a list of positions:

Highlight the specified target points as well as the segmentation on the image:

Generate a mask for a segment inside a bounding box:

Highlight the bounding box as well as the segmentation on the image:

Options  (1)

PerformanceGoal  (1)

By default, a medium-speed model with moderate quality is used:

Aim for speed, but this typically results in lower quality:

Aim for high quality, but this typically leads to slower results:

Applications  (3)

Segment repeating components in an image:

Segment an x-ray or other image modalities:

Segment a region selected by points:

Wolfram Research (2024), ImageSegmentationComponents, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html.

Text

Wolfram Research (2024), ImageSegmentationComponents, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html.

CMS

Wolfram Language. 2024. "ImageSegmentationComponents." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html.

APA

Wolfram Language. (2024). ImageSegmentationComponents. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html

BibTeX

@misc{reference.wolfram_2024_imagesegmentationcomponents, author="Wolfram Research", title="{ImageSegmentationComponents}", year="2024", howpublished="\url{https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html}", note=[Accessed: 26-July-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_imagesegmentationcomponents, organization={Wolfram Research}, title={ImageSegmentationComponents}, year={2024}, url={https://reference.wolfram.com/language/ref/ImageSegmentationComponents.html}, note=[Accessed: 26-July-2024 ]}