Morphological granulometries are one-parameter filter sequences that monotonically decrease image area. A size distribution is generated by measuring the ...
The moments of the pattern spectrum, or granulometric moments, are random variables employed as shape and texture signatures used in image classification, ...
Bibliographic details on Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments.
May 1, 1991 · The 17 features from 100 random pixels from each of the 10 texture classes were used to train a Gaussian maximum likelihood classifier. These.
This paper addresses this problem by using area morphology to generate a single pattern spectrum, consisting of a local granulometry and anti-granulometry, at ...
Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments. Pattern Recognition - Tập 25 - Trang 1181-1198 - 1992.
Oct 22, 2024 · This paper develops a new technique for modeling and classifying a growing texture using its evolution function over time.
Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments · Edward R. Dougherty · John T. Newell · Jeff B. Pelz ...
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This paper describes an image classification using of the elementary morphological operators. This classification is based on sup-generating operators, by use ...
Aug 26, 2020 · The present chapter concerns image segmentation via the methods of morphological image processing with a focus on watershed segmentation.