영상 처리 및 컴퓨터 비전
병렬 연산으로 영상 처리, 컴퓨터 비전 및 의료 영상 애플리케이션 가속화
Parallel Computing Toolbox™를 Image Processing Toolbox™, Computer Vision Toolbox™ 및 Medical Imaging Toolbox™와 함께 사용하여 병렬 연산으로 영상 처리, 컴퓨터 비전 및 의료 영상 애플리케이션을 가속화합니다.
앱
| 영상 일괄 처리기 | 여러 영상에 함수 적용 |
도움말 항목
영상 처리
- Parallel Block Processing on Large Image Files (Image Processing Toolbox)
If you have a Parallel Computing Toolbox license, you can take advantage of multiple processor cores on your machine to improve the performance ofblockproc. - GPU를 사용한 영상 처리 (Image Processing Toolbox)
복잡한 영상 처리 워크플로를 수행할 때 GPU(그래픽스 처리 장치) 가속을 활용합니다. - Process Large Set of Images Using MapReduce Framework and Hadoop (Image Processing Toolbox)
This example shows how to execute a cell counting algorithm on a large number of images using Image Processing Toolbox™ with MATLAB® MapReduce and datastores.
컴퓨터 비전
- 딥러닝을 사용한 의미론적 분할 (Computer Vision Toolbox)
이 예제에서는 의미론적 분할 신경망을 사용하여 영상을 분할하는 방법을 보여줍니다. - Multiclass Object Detection Using YOLO v2 Deep Learning (Computer Vision Toolbox)
Train a YOLO v2 multiclass object detector and evaluate object detector performance across selected classes and overlap thresholds. (R2024b 이후) - Automatically Label Ground Truth Using Segment Anything Model (Computer Vision Toolbox)
This example shows how to produce pixel labels for semantic segmentation using the Segment Anything Model (SAM) in the 영상 레이블 지정기 (Computer Vision Toolbox) app. (R2024b 이후) - Detect Defects on Printed Circuit Boards Using YOLOX Network (Computer Vision Toolbox)
Detect, localize, and classify defects in printed circuit boards (PCBs) using a you only look once version X (YOLOX) deep learning network.
의료 영상
- Accelerate Brain MRI Segmentation Using GPU (Medical Imaging Toolbox)
This example shows how to accelerate segmentation of a brain MRI using a deep neural network on a GPU. (R2026a 이후) - Breast Tumor Segmentation from Ultrasound Using Deep Learning (Medical Imaging Toolbox)
This example shows how to perform semantic segmentation of breast tumors from 2-D ultrasound images using a deep neural network. - Cardiac Left Ventricle Segmentation from Cine-MRI Images Using U-Net Network (Medical Imaging Toolbox)
Segment 2-D cardiac MRI images using U-Net, and explore predictions using Grad-CAM explainability maps. - Detect Nuclei in Large Whole Slide Images Using Cellpose (Medical Imaging Toolbox)
This example shows how to detect cell nuclei in whole slide images (WSIs) of tissue stained using hematoxylin and eosin (H&E) by using Cellpose. - Train Custom Cellpose Model (Medical Imaging Toolbox)
This example shows how to train a custom Cellpose model, using new training data, to detect noncircular shapes.
관련 정보
gpuArray를 지원하는 함수 (Image Processing Toolbox)- 자동 병렬 연산을 지원하는 함수 (Image Processing Toolbox)
gpuArray를 지원하는 함수 (Computer Vision Toolbox)- 자동 병렬 연산을 지원하는 함수 (Computer Vision Toolbox)
gpuArray를 지원하는 함수 (Medical Imaging Toolbox)
추천 예제
Perform Pixel-Based Operations on GPU
Perform pixel-based operations on a GPU by using functions that send both the data and the operations to the GPU for processing. This method is most effective for element-wise operations that require two or more data sets.
Perform Thresholding and Morphological Operations on GPU
Perform image processing operations on a GPU. The example uses filtering to highlight the watery areas in an aerial photograph.
