Texture Analysis And Speckle Reduction In Medical Echography

J . C. Bamber; G. Cook-Martin

doi:10.1117/12.940257

10 September 1987 Texture Analysis And Speckle Reduction In Medical Echography

J . C. Bamber, G. Cook-Martin

Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940257
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States

Abstract

A brief review is provided of methods available for speckle reduction. Relatively new techniques for reducing speckle by "intelligent" (i.e. speckle discriminating) image filtering are introduced. These utilize methods of echographic texture analysis, and the multivariate instrument signature of speckle, to recognize and largely eliminate speckle from the display without substantially destroying the structural information in the image. Further developments from a simple filter described previously²⁰, in the form of a non-linear transform applied to one feature and the use of a two-feature discriminator, are shown (qualitatively) to improve filter performance.

Citation Download Citation

J . C. Bamber and G. Cook-Martin "Texture Analysis And Speckle Reduction In Medical Echography", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); https://doi.org/10.1117/12.940257

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