Using OpenGL for imaging

Randi J. Rost

doi:10.1117/12.238478

15 April 1996 Using OpenGL for imaging

Randi J. Rost

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238478
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

Although OpenGL is not usually thought of as a library for imaging, it was designed to expose the capabilities of modern frame buffer hardware. The emphasis in OpenGL is on 3D graphics (i.e., geometry), but OpenGL also includes a fairly rich set of capabilities for 2D imaging. This paper describes the capabilities of OpenGL for imaging applications, including pixel transfer operations (draw, read, copy); color lookup tables; linear transformation of color values; pixel conversion capabilities; and pixel operations such as blending, masking, and clipping. Several recently proposed extensions to OpenGL add significant capabilities to the core imaging model, including convolution, window level mapping, and image transformation and resampling. These capabilities are discussed in the context of the pixel processing pipeline defined by OpenGL.

Citation Download Citation

Randi J. Rost "Using OpenGL for imaging", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238478

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