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Linear granulometric moments of noisy binary images

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/mrm.1910290312openalex-snapshot

Classification of trabecular structure in magnetic resonance images based on morphological granulometries

inferredcites →https://doi.org/10.1007/bf00122207openalex-snapshot

Statistics of the morphological pattern-spectrum moments for a random-grain model

inferredcites →https://doi.org/10.1007/bf00135222openalex-snapshot

Euclidean gray-scale granulometries: Representation and umbra inducement

inferredcites →https://doi.org/10.1016/0031-3203(92)90020-jopenalex-snapshot

Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments

inferredcites →https://doi.org/10.1016/0146-664x(82)90078-8openalex-snapshot

Image analysis and mathematical morphology

inferredcites →https://doi.org/10.1016/1047-3203(92)90016-mopenalex-snapshot

Asymptotic normality of the morphological pattern-spectrum moments and orthogonal granulometric generators

inferredcites →https://doi.org/10.1109/34.192465openalex-snapshot

Pattern spectrum and multiscale shape representation

inferredcites →https://doi.org/10.1109/34.41382openalex-snapshot

Morphological shape decomposition

inferredcites →https://doi.org/10.1117/12.131505openalex-snapshot

Texture classification by gray-scale morphological granulometries

inferredcites →https://doi.org/10.1117/12.173552openalex-snapshot

Gray-scale morphological granulometric texture classification

inferredcites →https://doi.org/10.1117/12.55174openalex-snapshot

Morphological image segmentation by local granulometric size distributions

inferredcites →https://doi.org/10.1117/12.55823openalex-snapshot

Morphological granulometric analysis of electrophotographic images--size distribution statistics for process control

inferredcites →https://doi.org/10.1201/9781482277234openalex-snapshot

Mathematical Morphology in Image Processing

inferredcites →https://doi.org/10.2307/2226151openalex-snapshot

Mathematical Methods of Statistics.

inferredcites →https://doi.org/10.2307/2345196openalex-snapshot

Random Sets and Integral Geometry.

inferredcites →https://doi.org/10.2307/2531038openalex-snapshot

Image Analysis and Mathematical Morphology.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/0471443395.img069openalex-snapshot

Foundations of Morphological Image Processing

inferred← citeshttps://doi.org/10.1007/978-1-4612-1942-2_3openalex-snapshot

On Estimating Granulometric Discrete Size Distributions of Random Sets

inferred← citeshttps://doi.org/10.1007/978-94-011-1040-2_30openalex-snapshot

Monte Carlo Estimation of Morphological Granulometric Discrete Size Distributions

inferred← citeshttps://doi.org/10.1016/0031-3203(94)00083-xopenalex-snapshot

Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries

inferred← citeshttps://doi.org/10.1016/0165-1684(94)00139-qopenalex-snapshot

Recursive maximum-likelihood estimation in the one-dimensional discrete Boolean random set model

inferred← citeshttps://doi.org/10.1016/0165-1684(96)00040-0openalex-snapshot

Optimal nonlinear filter for signal-union-noise and runlength analysis in the directional one-dimensional discrete Boolean random set model

inferred← citeshttps://doi.org/10.1023/a:1008209706862openalex-snapshot

Optimal Binary Morphological Bandpass Filters Induced by Granulometric Spectral Representation

inferred← citeshttps://doi.org/10.1023/a:1008314406260openalex-snapshot

Mathematical Morphology Based on Linear Combined Metric Spaces on Z2 (Part I): Fast Distance Transforms

inferred← citeshttps://doi.org/10.1117/12.179201openalex-snapshot

Estimation of shape mixture by granulometric methods

inferred← citeshttps://doi.org/10.1117/12.261931openalex-snapshot

Discrete morphological size distributions and densities: estimation techniques and applications

inferred← citeshttps://doi.org/10.1201/9781003067054-2openalex-snapshot

Morphological Segmentation for Textures and Particles

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