Segmentación de imágenes
Segmente imágenes
La segmentación de imágenes es el proceso de dividir una imagen en partes o regiones. A menudo, la división en partes se basa en las características de los píxeles de la imagen. Por ejemplo, una forma de encontrar regiones en una imagen es buscar discontinuidades abruptas en los valores de los píxeles, lo que suele indicar la presencia de bordes. Estos bordes pueden definir regiones. En otros métodos, la imagen se divide en regiones en función de los valores de color o de la textura.
Apps
Color Thresholder | Umbrales de imágenes en color |
Image Segmenter | Segmentar una imagen mejorando las regiones |
Volume Segmenter | Segment 3-D grayscale or RGB volumetric images |
Funciones
Temas
Segmentación mediante Image Segmenter
- Getting Started with Image Segmenter App
Segment an image using different techniques, refine and save the binary mask, and export the segmentation code by using 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 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
- Install Sample Data Using Add-On Explorer
Image Processing Toolbox Image Data package contains sample 3-D volumetric data.
Segmentación mediante Color Thresholder
- Segment Image and Create Mask Using Color Thresholder App
Segment an image based on color values and create a binary mask image using Color Thresholder. - 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.
Segmentación mediante filtros de Gabor, superpíxeles y otras técnicas
- 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) and view the results using the Volume Viewer app.
Segmentación mediante Volume Segmenter
- 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
This example shows how to work with a single-resolution blocked image in the Volume Segmenter app.