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Image Processing

Image Processing Description Topics

Medical Imaging

MathWorks tools provide engineers and scientists with a complete environment for processing, analyzing, and visualizing medical images. These tools are used in a wide range of medical applications, including computer-aided diagnosis, modality design, microarray analysis, gel imaging, and microscopy.

Using MATLAB® and companion toolboxes, you can:
  • Read and write DICOM images
  • Acquire images from PC-compatible frame grabber cards and video devices
  • Visualize images, video sequences, and volumes
  • Perform standard image processing and analysis techniques
  • Develop new imaging algorithms
  • Reconstruct a series of related images into a volume
  • Create customized GUIs

Using Simulink® software, you can create system simulations and automatically generate code, effectively replacing error-prone, manual methods of coding software for target-specific hardware.

In addition, a growing number of third parties have developed useful medical imaging tools, such as SPM2, using the open and flexible MATLAB environment.

Medical imaging with MATLAB and the Image Processing Toolbox
Using morphology tools such as dilation and erosion with edge detection can help detect and outline a prostate cancer cell. Original image on left courtesy of Alan W. Partin, M.D., Ph.D., Johns Hopkins University School of Medicine.
Steve Eddins

Blog: Steve on Image Processing

Read the latest entries on this popular Image Processing blog. Steve Eddins manages the Image and Geospatial development team. He writes about image processing concepts, algorithm implementations, and MATLAB.

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Purdue University

""The MATLAB programming language and visualization capabilities engage our students and help them see results instantly.""
- Heidi Diefes-Dux

Free Technical Kit

Image Processing Information Kit