A Certified Reduction Strategy for Homological Image Processing

Author:

Poza María1,Domínguez César1,Heras Jónathan2,Rubio Julio1

Affiliation:

1. Department of Mathematics and Computer Science, University of La Rioja, Spain

2. School of Computing, University of Dundee, UK

Abstract

The analysis of digital images using homological procedures is an outstanding topic in the area of Computational Algebraic Topology. In this article, we describe a certified reduction strategy to deal with digital images, but one preserving their homological properties. We stress both the advantages of our approach (mainly, the formalization of the mathematics allowing us to verify the correctness of algorithms) and some limitations (related to the performance of the running systems inside proof assistants). The drawbacks are overcome using techniques that provide an integration of computation and deduction. Our driving application is a problem in bioinformatics, where the accuracy and reliability of computations are specially requested.

Funder

European Union's 7th Framework Programme

EPSRC

Ministerio de Educación y Ciencia project MTM2009-13842-C02-01

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SynapCountJ: A Validated Tool for Analyzing Synaptic Densities in Neurons;Biomedical Engineering Systems and Technologies;2017

2. Effective homology of filtered digital images;Pattern Recognition Letters;2016-11

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