Geometric transformations in a lazy functional language Export

@proceedings{citeulike:1718507, abstract = {The authors present geometric transformations including translation, scaling and rotation expressed in a lazy functional programming language called Miranda. The language is `lazy' in the sense that no subexpression is evaluated until its value is required, which is particularly suitable for image processing. The authors demonstrate that, by using this embedded laziness, geometric transformations can be described without inverse mapping, and that the program is natural and modular. In particular, this is more beneficial in consecutive transformations. In addition, they show that higher-order functions also improve modularity of programs, and that, for receiving such benefits, it is important to select appropriate image representations where pixel part and other parameters including origin and length are separated}, author = {Kozato, Y. and Otto, G. P.}, booktitle = {Pattern Recognition, 1992. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, Proceedings., 11th IAPR International Conference on}, citeulike-article-id = {1718507}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=202147}, journal = {Pattern Recognition, 1992. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, Proceedings., 11th IAPR International Conference on}, keywords = {functional, image\_processing, language\_design}, pages = {128--132}, posted-at = {2007-10-02 08:00:05}, priority = {2}, title = {Geometric transformations in a lazy functional language}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=202147}, year = {1992} }

TY - CONF ID - citeulike:1718507 L3 - citeulike-article-id:1718507 N2 - The authors present geometric transformations including translation, scaling and rotation expressed in a lazy functional programming language called Miranda. The language is `lazy' in the sense that no subexpression is evaluated until its value is required, which is particularly suitable for image processing. The authors demonstrate that, by using this embedded laziness, geometric transformations can be described without inverse mapping, and that the program is natural and modular. In particular, this is more beneficial in consecutive transformations. In addition, they show that higher-order functions also improve modularity of programs, and that, for receiving such benefits, it is important to select appropriate image representations where pixel part and other parameters including origin and length are separated JF - Pattern Recognition, 1992. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, Proceedings., 11th IAPR International Conference on EP - 132 TI - Geometric transformations in a lazy functional language T2 - Pattern Recognition, 1992. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, Proceedings., 11th IAPR International Conference on SP - 128 KW - functional KW - image_processing KW - language_design AU - Kozato, Y AU - Otto, GP PY - 1992/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=202147 ER -