Image Analysis Using Hit-Or-Miss Transforms With Resolution Pyramids
Richard Anthony Peters, Robin N. Strickland · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1986
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.