A New Design Tool for Feature Extraction in Noisy Images Based on Grayscale Hit-or-Miss Transforms

DOI10.1109/TIP.2010.2103952zbMath1372.68276OpenAlexW2103739054WikidataQ39965780 ScholiaQ39965780MaRDI QIDQ5370132

Stephen Marshall, Paul Murray

Publication date: 19 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2010.2103952

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

A fuzzy morphological hit-or-miss transform for grey-level images: a new approach ⋮ Fuzzy Hit-or-Miss Transform Using the Fuzzy Mathematical Morphology Based on T-norms ⋮ Variable precision fuzzy hit-or-miss transformation models to object identification in grey-scale images

This page was built for publication: A New Design Tool for Feature Extraction in Noisy Images Based on Grayscale Hit-or-Miss Transforms