Accession Number:

ADA164325

Title:

Automatic Feature Extraction/Algorithm Testing.

Descriptive Note:

Final evaluation rept. 28 Sep 84-30 Sep 85,

Corporate Author:

AUTOMETRIC INC ROME NY

Personal Author(s):

Report Date:

1985-11-01

Pagination or Media Count:

24.0

Abstract:

Feature extraction results using an Improved Texture Clustering Algorithm were compared to photo interpreters manual segmentationclassification results. The clustering algorithm segments digital images via texture and edge attributes. The probability of detecting a target or feature is increased if the number of segments is reduced therefore, the algorithm merges segments via edge thresholds. Evaluation showed general agreement, but the edge attributes would apply more to target detection than to feature classification. Keywords Digital image processing. Author

Subject Categories:

  • Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE