Sparse Mathematical Morphology Using Non-negative Matrix Factorization

Jesús Angulo; Santiago Velasco-Forero

doi:10.1007/978-3-642-21569-8_1

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Sparse Mathematical Morphology Using Non-negative Matrix Factorization

Jesús Angulo Santiago Velasco-Forero

Year: 2011 Lecture notes in computer science Pages: 1-12 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-21569-8_1

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Keywords:

Non-negative matrix factorization Mathematical morphology Computer science Dilation (metric space) Sparse approximation Matrix decomposition Pattern recognition (psychology) Image processing Binary number Artificial intelligence Set (abstract data type) Algorithm Matrix (chemical analysis) Sparse matrix Binary image Factorization Representation (politics) Image (mathematics) Mathematics Arithmetic Combinatorics

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse Mathematical Morphology Using Non-negative Matrix Factorization

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