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A Robust Image Processing Language in the Context of Image Algebra

Edward R. Dougherty, Paramjit S. Sehdev
CVPR 1988 pp. 748-753
doi:10.1109/CVPR.1988.196318 /cvpr/1988/dougherty1988cvpr-robust/

Abstract

A high level image processing language is discussed that provides a robust environment for the universal specification and implementation of image processing algorithms. In essence, an image processing program consists of a collection of procedure calls. To implement an algorithm, one needs only to construct a block-diagram representation of the algorithm and the proceed with one-to-one translation of the block diagram into the host Pascal language. The result is that an investigator can proceed with rapid variations at the algorithm design stage without having to be involved with writing code. The development of the language rests on three pillars: (1) the existence of a rigorous and robust image algebra, (2) the block diagram specification of image-processing algorithms, and (3) the bound matrix image representation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Dougherty and Sehdev. "A Robust Image Processing Language in the Context of Image Algebra." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196318

Markdown

[Dougherty and Sehdev. "A Robust Image Processing Language in the Context of Image Algebra." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/dougherty1988cvpr-robust/) doi:10.1109/CVPR.1988.196318

BibTeX

@inproceedings{dougherty1988cvpr-robust,
  title     = {{A Robust Image Processing Language in the Context of Image Algebra}},
  author    = {Dougherty, Edward R. and Sehdev, Paramjit S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {748-753},
  doi       = {10.1109/CVPR.1988.196318},
  url       = {https://mlanthology.org/cvpr/1988/dougherty1988cvpr-robust/}
}