Add to ORKGWe explore vectorised implementations, exploiting single instruction multiple data (SIMD) CPU instructions on commonly used architectures, of three efficient algorithms for morphological dilation and erosion. We discuss issues specific to SIMD implementation and describe how they guide algorithm choice. We compare our implementations to a commonly used opensource SIMD accelerated machine vision library and find orders of magnitude speed-ups can be achieved for erosions using two-dimensional structuring elements
Algorithmic description of the implementation of fast morphological operators with large structuring...
The efficiency of implementations of binary morphology is investigated, using both full image raster...
Abstract—Performing morphological operations such as dilation and erosion of binary images, using ve...
We explore vectorised implementations, exploiting single instruction multiple data (SIMD) CPU instru...
Morphological operations based on primitives such as dilation and erosion are slow to compute in pra...
This paper describes a new algorithm for performing erosion and dilation which is suitable for flat ...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
Mathematical morphology has been an area of intensive research over the last few years. Although man...
This article describes and evaluates algorithms and their hardware architectures for binary morpholo...
Morphological transformations are commonly used to perform a variety of image processing tasks. Howe...
The two fundamental operations in morphological image processing are dilation and erosion. These pro...
Morphology has being utilized widely nowadays. It is a common method in image processing and it has...
International audienceThis paper presents a new algorithm for an efficient computation of morphologi...
13 pagesThis paper presents a fast, streaming algorithm for 1-D morphological opening on 2-D support...
International audienceIn mathematical morphology, circular structuring elements (SE) are used whenev...
Algorithmic description of the implementation of fast morphological operators with large structuring...
The efficiency of implementations of binary morphology is investigated, using both full image raster...
Abstract—Performing morphological operations such as dilation and erosion of binary images, using ve...
We explore vectorised implementations, exploiting single instruction multiple data (SIMD) CPU instru...
Morphological operations based on primitives such as dilation and erosion are slow to compute in pra...
This paper describes a new algorithm for performing erosion and dilation which is suitable for flat ...
This thesis deals with the algorithms of Mathematical Morphology that can consider the pixels of an ...
Mathematical morphology has been an area of intensive research over the last few years. Although man...
This article describes and evaluates algorithms and their hardware architectures for binary morpholo...
Morphological transformations are commonly used to perform a variety of image processing tasks. Howe...
The two fundamental operations in morphological image processing are dilation and erosion. These pro...
Morphology has being utilized widely nowadays. It is a common method in image processing and it has...
International audienceThis paper presents a new algorithm for an efficient computation of morphologi...
13 pagesThis paper presents a fast, streaming algorithm for 1-D morphological opening on 2-D support...
International audienceIn mathematical morphology, circular structuring elements (SE) are used whenev...
Algorithmic description of the implementation of fast morphological operators with large structuring...
The efficiency of implementations of binary morphology is investigated, using both full image raster...
Abstract—Performing morphological operations such as dilation and erosion of binary images, using ve...