Image segmentation is the process of partitioning an image into parts or regions. This division into parts is often based on the characteristics of the pixels in the image. For example, one way to find regions in an image is to look for abrupt discontinuities in pixel values, which typically indicate edges. These edges can define regions. Other methods divide the image into regions based on color values or texture.
Color Thresholder | Threshold color image |
Image Segmenter | Segment an image by refining regions |
Volume Segmenter | Segment 3-D grayscale or RGB volumetric images |
Getting Started with Image Segmenter App
This topic provides an overview of the Image Segmenter app and its capabilities.
Install Sample Data Using Add-On Explorer
Image Processing Toolbox Image Data package contains sample 3-D volumetric data.
Segment Image and Create Mask Using Color Thresholder App
This example shows how to segment an image and create a binary mask image using the Color Thresholder app.
Acquire Live Images in the Color Thresholder App
You can perform color thresholding on an image acquired from a live USB webcam.
Image Segmentation Using Point Clouds in the Color Thresholder App
This example shows how to segment an image using the point cloud control in the Color Thresholder app.
Plot Land Classification with Color Features and Superpixels
This example shows how to perform land type classification based on color features using K-means clustering and superpixels.
Segment Lungs from 3-D Chest Scan
This example shows how to perform a 3-D segmentation using active contours (snakes).
Create Binary Mask Using Volume Segmenter
This example shows how to segment a volume in the Volume Segmenter app.
Create Semantic Segmentation Using Volume Segmenter
This example shows how to create a semantic segmentation of a volume using the Volume Segmenter app.
Work with Blocked Images Using the Volume Segmenter
This example shows how to work with a blocked image in the Volume Segmenter app.