Image Acquisition Toolbox

Key Features

  • Support for industry standards, including DCAM, Camera Link, and GigE Vision
  • Support for common OS interfaces for webcams, including Direct Show, QuickTime, and video4linux2
  • Support for a range of industrial and scientific hardware vendors
  • Multiple acquisition modes and buffer management options
  • Synchronization of multimodal acquisition devices with hardware triggering
  • Image Acquisition app for rapid hardware configuration, image acquisition, and live video previewing
  • Support for C code generation in Simulink

Together, MATLAB, Image Acquisition Toolbox, and Image Processing Toolbox (and, optionally, Computer Vision System Toolbox) provide a complete environment for developing customized imaging solutions. You can acquire images and video, visualize data, develop processing algorithms and analysis techniques, and create Ui's and apps. The image acquisition engine enables you to acquire frames as fast as your camera and PC can support for high speed imaging. In addition, you can use Image Acquisition Toolbox with Simulink and Computer Vision System Toolbox to model and simulate real-time embedded imaging systems.

Image Acquisition Toolbox simplifies the acquisition process by providing a consistent interface across operating systems, hardware devices, and vendors. The toolbox provides multiple ways to access hardware devices from MATLAB and Simulink: the Image Acquisition Tool, a programmatic interface in MATLAB, and a block for Simulink. Each workflow provides access to camera properties and controls while enabling you to solve different types of problems with the strengths of each environment.

Image Acquisition Toolbox application that acquires and analyzes images of central synapses to monitor synaptic transmission over time.

Image Acquisition Toolbox application that acquires and analyzes images of central synapses to monitor synaptic transmission over time. GUIs (insets, upper right and lower left) enable researchers to tune acquisition and processing parameters. Image courtesy of Polugruto, T.A.; Tervo, D.G.; and Svoboda, K.; Howard Hughes Medical Institute/Cold Spring Harbor Labs.

Next: App for Image and Video Acquisition

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MATLAB/Simulinkによる自動追跡カメラシステムの開発と実機検証

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