Image Analysis Using Hit-Or-Miss Transforms With Resolution Pyramids

Richard Alan Peters II; Robin N. Strickland

doi:10.1117/12.976220

10 December 1986 Image Analysis Using Hit-Or-Miss Transforms With Resolution Pyramids

Richard Alan Peters II, Robin N. Strickland

Proceedings Volume 0697, Applications of Digital Image Processing IX; (1986) https://doi.org/10.1117/12.976220
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

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.

Citation Download Citation

Richard Alan Peters II and Robin N. Strickland "Image Analysis Using Hit-Or-Miss Transforms With Resolution Pyramids", Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); https://doi.org/10.1117/12.976220

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