Blocked Images
A big image may not fit into memory, which makes it challenging to display and
process. The blockedImage object solves this problem by representing an image
as a collection of smaller blocks of data that can be independently loaded and
processed. A blockedImage object can support large images and
images with one or multiple resolution levels.
Functions
Topics
- Set Up Spatial Referencing for Blocked Images
This example shows how to set up and verify the spatial referencing information of a
blockedImageobject. - Read Whole-Slide Images with OpenSlide
This example shows how to add support for reading whole-slide images by creating a custom blocked image adapter.
- Explore Blocked Image Details with Interactive ROIs
This example shows how to display a detailed region of a blocked image selected interactively using ROI tools.
- Warp Blocked Image at Coarse and Fine Resolution Levels
This example shows how to apply a geometric transformation (warping) to a blocked image.
- Label Large Images in the Image Labeler (Computer Vision Toolbox)
This section describes the differences with using the Image Labeler app with blocked images.
- Convert Image Labeler Polygons to Labeled Blocked Image for Semantic Segmentation
This example shows how to convert polygon labels stored in a
groundTruthobject into a labeled blocked image suitable for semantic segmentation workflows. - 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.
Featured Examples
Display and Explore Blocked Images
Visualize and explore large and multiresolution images stored as blockedImage objects.
Process Blocked Images Efficiently Using Partial Images or Lower Resolutions
Process a blocked image quickly using two strategies that enable computations on smaller representative samples of the high-resolution image.
Process Blocked Images Efficiently Using Mask
Process a blocked image efficiently by using a mask to isolate regions of interest (ROIs).
Create Labeled Blocked Image from ROIs and Masks
Create a labeled blocked image from a set of ROIs.
Detect and Count Cell Nuclei in Whole Slide Images
Use color thresholding and region property analysis, while working with small blocks of image data, to detect nuclei in WSIs.
Preprocess Multiresolution Images for Training Classification Network
Prepare datastores that read and preprocess multiresolution whole slide images (WSIs) that might not fit in memory.
Classify Tumors in Multiresolution Blocked Images
Classify multiresolution whole slide images (WSIs) that might not fit in memory using an Inception-v3 deep neural network.
Detect Nuclei in Large Whole Slide Images Using Cellpose
Detect cell nuclei in whole slide images (WSIs) of tissue stained using hematoxylin and eosin (H&E) by using Cellpose.
Classify Tumors in Digital Pathology Images Using Cell Nucleus Morphology
Classify whole slide image (WSI) patches as normal or cancerous using pathomics.
3-D Brain Tumor Segmentation Using Deep Learning
Perform semantic segmentation of brain tumors from 3-D medical images.
Process Large GeoTIFF File as Blocked Image
Efficiently apply and visualize image processing operations on a large GeoTIFF file using a low-resolution mask.
Crop and Mask Large GeoTIFF File Using Shapefile
Efficiently crop and mask a large GeoTIFF file using a shape from a shapefile.
