图像分割
分割图像
图像分割是将图像分割成多个部分或区域的过程。这种分割通常基于图像中像素的特征。例如,在图像中查找区域的一种方法是寻找像素值中的突变不连续性,这通常表示边缘。这些边缘可以定义区域。其他方法根据颜色值或纹理将图像分成多个区域。
App
函数
主题
使用分割一切模型的分段
- Get Started with Segment Anything Model for Image Segmentation
Perform interactive image segmentation using Segment Anything Model (SAM) and deep learning.
使用图像分割器进行分割
- Getting Started with Image Segmenter
Segment an image using different techniques, refine and save the binary mask, and export the segmentation code by using the Image Segmenter app.
- 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 Graph Cut in Image Segmenter
- Segment Image Using Local Graph Cut (Grabcut) in Image Segmenter
- Segment Image Using Find Circles in Image Segmenter
- Segment Image Using Auto Cluster in Image Segmenter
- Refine Segmentation Using Morphology in Image Segmenter
- Use Texture Filtering in Image Segmenter
- 使用附加功能资源管理器安装示例数据
Image Processing Toolbox 图像数据包包含三维体数据示例。
使用色彩分割器进行分割
- Segment Image and Create Mask Using Color Thresholder
Segment an image based on color values and create a binary mask image using Color Thresholder. - Acquire Live Images in Color Thresholder
Perform color thresholding on an image acquired from a live USB webcam using the Color Thresholder app.
使用加博滤波器、超像素和其他技术进行分割
- Plot Land Classification with Color Features and Superpixels
Classify land types based on color features using K-means clustering and superpixels. - Segment Lungs from 3-D Chest Scan
Perform a 3-D segmentation using active contours (snakes) and view the results using the Volume Viewer app.
使用三维体分割器进行分割
- 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 Volume Segmenter
Segment a volumetric image that could be too large to fit into memory by converting the volume to a blocked image.