Mathematical morphology combines nonlinear image processing and filtering techniques based on ideas from (random) set theory, topology, and stochastic geometry. It is widely applied for the analysis of spatial structures, e.g. from geology, biology, or materials science.
Sep 6, 2024
Nov 17, 2023 · We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors.
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Abstract—We define morphological operators and filters for directional images whose pixel values are vectors on the unit sphere. This requires an ordering ...
We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors.
We define morphological operators and filters for directional images whose pixel values are vectors on the unit sphere. This requires an ordering relation ...
Abstract. We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for ...
AbstractWe define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for ...
We define morphological operators and filters for directional images whose pixel values are vectors on the unit sphere. This requires an ordering relation ...
Abstract We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for ...
This paper presents a new method for extracting roads in Very. High Resolution remotely sensed images based on advanced directional morphological operators. The ...