Pattern minefield detection from inexact data

Gabriel Robins; Brian L. Robinson

doi:10.1117/12.211353

20 June 1995 Pattern minefield detection from inexact data

Gabriel Robins, Brian L. Robinson

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211353
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Detecting spatial regularity in images arises in military applications, computer vision, scene analysis, and other areas. In this paper we give a O(n^5/2)-time algorithm that for a given pointset finds all maximal approximately equally-spaced collinear subsets. Our algorithm is robust in that it can tolerate noise or imprecision that may be inherent in the measuring process. Thus, our algorithm is applicable in real-world arenas, such as landmine detection from infrared images.

Citation Download Citation

Gabriel Robins and Brian L. Robinson "Pattern minefield detection from inexact data", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211353

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