Image Segmenter

Segment an image by refining regions

Description

The Image Segmenter app enables you to create a segmentation mask using automatic algorithms such as Segment Anything Model (SAM), semi-automatic techniques such as graph cut, and manual techniques such as drawing ROIs. You can also refine masks using morphology, SAM, or an iterative approach such as active contours (also called snakes). For more information about creating, refining, and exporting a segmentation mask, see Getting Started with Image Segmenter.

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Open the Image Segmenter App

• MATLAB^® Toolstrip: Open the Apps tab, under Image Processing and Computer Vision, click the Image Segmenter app icon.

• MATLAB command prompt: Enter imageSegmenter.

Examples

• Segment Objects Using Segment Anything Model (SAM) in Image Segmenter
• Segment Image Using Thresholding in Image Segmenter
• Segment Image by Drawing Regions Using Image Segmenter
• Segment Image Using Active Contours in Image Segmenter
• Segment Image Using Auto Cluster in Image Segmenter
• Segment Image Using Graph Cut in Image Segmenter
• Segment Image Using Find Circles in Image Segmenter
• Segment Image Using Local Graph Cut (Grabcut) in Image Segmenter
• Refine Segmentation Using Morphology in Image Segmenter
• Use Texture Filtering in Image Segmenter

Programmatic Use

imageSegmenter

imageSegmenter opens the Image Segmenter app, which enables you to create a segmentation mask of an image by using active contours.

imageSegmenter(I)

imageSegmenter(I) opens the Image Segmenter app, loading the image I into the app.

imageSegmenter close

imageSegmenter close closes all open instances of the Image Segmenter app.

Version History

Introduced in R2014b