Blocked Images

Read and navigate very large images

A very large 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 with one or multiple resolution levels.

Functions

`blockedImage`	Image made from discrete blocks
`blockedImageDatastore`	Datastore for use with blocks from `blockedImage` objects
`blockLocationSet`	List of block locations in large images
`selectBlockLocations`	Select blocks from blocked images
`bigimageshow`	Display 2-D `blockedImage` object

Classes

`images.blocked.Adapter`	Adapter interface for `blockedImage` objects
`images.blocked.BINBlocks`	Default adapter for writing blocked image data to disk
`images.blocked.GenericImage`	Store blocks in a single image file
`images.blocked.GenericImageBlocks`	Store each block as image file in folder
`images.blocked.H5`	Store blocks in a single HDF5 file
`images.blocked.H5Blocks`	Store each block as HDF5 file in folder
`images.blocked.InMemory`	Store blocks in memory
`images.blocked.JPEGBlocks`	Store each block as JPEG file in folder
`images.blocked.MATBlocks`	Store each block as MAT-file in folder
`images.blocked.PNGBlocks`	Store each block as PNG file in folder
`images.blocked.TIFF`	Store blocks in single TIFF file

Featured Examples

Read Whole-slide Images with Custom Blocked Image Adapter

Add support for reading whole-slide images by creating a custom blocked image adapter. The example creates a MATLAB interface to the OpenSlide C library, a C library that provides a simple interface to read whole-slide images (also known as virtual slides). The OpenSlide library is a product of the research group of M. Satyanarayanan at Carnegie Mellon University, School of Computer Science.

Open Live Script

Set Up Spatial Referencing for Blocked Images

Set up and verify the spatial referencing information of a blockedImage object.

Open Script

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.

Open Script

Process Blocked Images Efficiently Using Mask

Process a blocked image efficiently by using a mask to isolate ROIs.

Open Live Script

Explore Blocked Image Details with Interactive ROIs

Display a detailed region of a blocked image selected interactively using ROI tools.

Open Script

Warp Blocked Image at Coarse and Fine Resolution Levels

Apply a geometric transformation (warping) to a blocked image.

Open Live Script

Create Labeled Blocked Image from ROIs and Masks

Create a labeled blocked image consisting of categorical labels.

Open Live Script

Classify Large Multiresolution Images Using blockedImage and Deep Learning

Classify multiresolution whole slide images (WSIs) that do not fit in memory using an Inception-v3 deep neural network.

Open Live Script

Work with Blocked Images Using the Volume Segmenter

Work with a blocked image in the Volume Segmenter app. Use blocked images when the original volume is too large to fit into memory. By using blocked images, you can segment volumes without running out of memory.

Open Live Script