블록 형식 영상
대용량 영상은 메모리에 담을 수 없어 영상을 표시하고 처리하는 데 어려움이 있을 수 있습니다. blockedImage 객체는 개별적으로 불러오고 처리할 수 있는 더 작은 데이터 블록의 모음으로 영상을 나타냄으로써 이 문제를 해결합니다. blockedImage 객체는 대용량 영상과 여러 해상도 수준을 갖는 영상을 지원합니다.
함수
도움말 항목
- 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 Very Large High-Resolution Images Using Image Labeler (Computer Vision Toolbox)
This topic explains how to efficiently label high-resolution and large-scale images using the Image Labeler app, especially when working with images too large to fit into memory.
- 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.
추천 예제
Display and Explore Blocked Images
Visualize and explore large and multiresolution images stored as blockedImage objects.
부분 영상 또는 낮은 해상도를 사용하여 효율적으로 블록 형식 영상 처리하기
이 예제에서는 고해상도 영상의 작은 대표적 샘플들에 대해 계산할 수 있도록 하는 두 가지 전략을 사용하여 블록 형식 영상을 신속하게 처리하는 방법을 보여줍니다.
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.
딥러닝을 사용한 3차원 뇌종양 분할
이 예제에서는 3차원 의료 영상에서 뇌종양의 의미론적 분할을 수행하는 방법을 다룹니다.
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.
