Computer-Aided Classification for a Database of Images of Minelike Objects

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Authors
  1. Fawcett, J.A.
  2. Myers, V.L.
Corporate Authors
Defence R&D Canada - Atlantic, Dartmouth NS (CAN)
Abstract
In this report we describe some computer classification experiments with a database of sidescan sonar images. This database consists of 383 swaths of sidescan sonar data extracted by the authors from sea trial data collected over the last few years by DRDC Atlantic. The effects of the filtering and image segmentation processes on the resultant classification rates are considered. A number of kernel-based and nearest-neighbour classification schemes are examined. It is found that despite the complexities of the database considered in this report that high classification/low false alarm rates can be achieved.

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Keywords
Computer aided classification;Computer aided detection;Classification algorithms
Report Number
DRDC-ATLANTIC-TM-2004-272 — Technical Memorandum
Date of publication
01 Mar 2005
Number of Pages
60
DSTKIM No
CA026037
CANDIS No
523797
Format(s):
CD ROM

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