Analysis of regularization edge detection in image processing

Allen Gee; David M. Doria

doi:10.1117/12.139987

16 September 1992 Analysis of regularization edge detection in image processing

Allen Gee, David M. Doria

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.139987
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Regularization is a paradigm for performing image segmentation and edge detection, that can be implemented in a neural network type architecture. Various topics and problems pertaining to the use of regularization for image processing applications are discussed. Topics include data fusion, sensor blur, and the operation on partitioned images. A mathematical analysis of the different topics is presented, including a modification of the original regularization energy functional to perform data fusion.

Citation Download Citation

Allen Gee and David M. Doria "Analysis of regularization edge detection in image processing", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.139987

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