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Proceedings Paper

Image Analysis Using Hit-Or-Miss Transforms With Resolution Pyramids
Author(s): Richard Alan Peters; Robin N. Strickland
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Paper Abstract

The hit-or-miss transform forms the basis of Serra's mathematical morphology in image analysis. It has many applications, including texture enhancement and object isolation. A resolution pyramid is a sequence of images of decreasing size and resolution derived from a single, relatively high-resolution image. The combination of hit-or-miss transforms with resolution pyramids is a useful technique for representing and ordering structural information in digital images. In this paper we define a mask-driven, mask-generating hit-or-miss transform that can isolate image features and order them hierarchically with respect to size and relative brightness. We show how this mask-driven transform, either alone or in conjunction with a resolution pyramid, can generate a sequence of nonlinear approximations to the original image. We show applications to blob detection, data compression, contour mapping, and image complexity measurement.

Paper Details

Date Published: 10 December 1986
PDF: 15 pages
Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); doi: 10.1117/12.976220
Show Author Affiliations
Richard Alan Peters, University of Arizona (United States)
Robin N. Strickland, University of Arizona (United States)

Published in SPIE Proceedings Vol. 0697:
Applications of Digital Image Processing IX
Andrew G. Tescher, Editor(s)

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