@inproceedings{97832a6c31c7412c8fdbc998c01f8f8e,
title = "Vector field visualization by projection pursuit: analysis of projection indices",
abstract = "The problem of the visualization of multidimensional data, specifically vector fields has been addressed. A version of Projection Pursuit has been applied to the task. We have analyzed four projection indices that have been proposed for this purpose. A quantitative measure for the quality of an image was developed. this was used to determine optimum values of the parameters appearing in the definitions of the indices, and to compare the performance of the indices. The robust edginess index and the local clustering index appear to be the most versatile. The various indices were compared by using a segmentation based criterion.",
author = "G. Harikumar and Yoram Bresler",
year = "1994",
language = "English (US)",
isbn = "081941638X",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Society of Photo-Optical Instrumentation Engineers",
number = "p 2",
pages = "942--953",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
edition = "p 2",
note = "Visual Communications and Image Processing '94 ; Conference date: 25-09-1994 Through 29-09-1994",
}