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UNC Charlotte Machine Vision Laboratory

The Department of Electrical and Computer Engineering
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Acuity AR4000 Medium Distance LIDAR Scanner

Experimental Low-Cost LIDAR Scanner Implementation Complete 

The UNCC Machine Vision lab has acquired an AR4000 range sensor from Acuity Laser Measurement the system is capable of capturing 3D surface range data up to 40 feet from the sensor.

ar4000_sensor.jpg 

We have recently develop a linux driver for this sensor. The source for this driver is available through subversion at the subversion repository here under the link "laser-driver." The linux driver is currently compatible with linux kernel versions 2.6.16-2.8.18.

 

Small Footprint DICOM Image Format Loader

Small Code Footprint DICOM Image Loader Completed 

Recent work involving medical images have motivated the implementation of a robust DICOM image reader. This work has now been completed resulting in one of the most complete open-source Java implementations of the DICOM specification. The implementation is capable of loading 8-bit grayscale, 8-bit color, 16-bit grayscale, and 24-bit color DICOM images where the image data may be uncompressed, run-length encoded, jpeg-lossless compressed, or jpeg-lossy compressed. Also of interest is the implementation of the spatial (sequential) lossless encoding mode (SOF3) of the ISO/IEC also known as JPEGL. Note that this IS NOT an implementation of JPEG-LS. It is an implementation of the original lossless JPEG coding scheme as specified in the ORIGINAL JPEG Internal Standards Organization (ISO) spec :

  • ISO/IS-10918-1 (JPEG Part 1)
  • ISO/IS-10918-2 (JPEG Part 2)

Whereas JPEG-LS is ISO spec ISO/IS-14495-1 (JPEG-LS Part 1).

I can find no easy-to-use, small-footprint, open-source Java implementation capable of decoding these streams at full resolution. Some nice things about the implementation is that it requires just a few new classes to run (approximately 6).


Read more: Small Footprint DICOM Image Format Loader

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