Template decomposition techniques can be useful for improving the efficiency of imageprocessing algorithms. The improved efficiency can be realized either by reorganizing a computation to fit a specialized structure, such as an image-processing pipeline, or by reducing the number of operations used. In this paper two techniques are described for decomposing templates into sequences of 3×3 templates with respect to gray-scale morphological operations. Both techniques use linear programming and are guaranteed to find a decomposition of one exists.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46623/1/10851_2004_Article_BF00123880.pd
Structuring element decomposition is used to reduce computation time in performing morphological ima...
Most image processing tasks like pattern matching are defined in terms of large-neighborhood DTCNN t...
Abstruct- Efficient implementation of morphological opera-tions requires the decomposition of struct...
Abstract. Template decomposition techniques can be useful for improving the efficiency of image-proc...
Abstract—Convolutions are a fundamental tool in image processing. Classical examples of two dimensio...
In this paper the established link between Mathematical Morphology and DT-CNN is used to derive a ne...
An efficient algorithm is presented for the computation of grayscale morphological operations with a...
An efficient algorithm is presented for the computation of gray-scale morphological operations with ...
International audienceThis paper presents a new algorithm for an efficient computation of morphologi...
From a practical point of view, template decomposition is an important issue since image processing ...
For image processing systems that have a limited size of region of support, say 3 x 3, direct implem...
This paper presents research on decomposition of morphological grayscale structural functions so tha...
One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Repre...
A novel approach to implement gray-scale morphological operations is presented in this work. This ne...
A novel approach to implement gray-scale morphological operations is presented in this work. This ne...
Structuring element decomposition is used to reduce computation time in performing morphological ima...
Most image processing tasks like pattern matching are defined in terms of large-neighborhood DTCNN t...
Abstruct- Efficient implementation of morphological opera-tions requires the decomposition of struct...
Abstract. Template decomposition techniques can be useful for improving the efficiency of image-proc...
Abstract—Convolutions are a fundamental tool in image processing. Classical examples of two dimensio...
In this paper the established link between Mathematical Morphology and DT-CNN is used to derive a ne...
An efficient algorithm is presented for the computation of grayscale morphological operations with a...
An efficient algorithm is presented for the computation of gray-scale morphological operations with ...
International audienceThis paper presents a new algorithm for an efficient computation of morphologi...
From a practical point of view, template decomposition is an important issue since image processing ...
For image processing systems that have a limited size of region of support, say 3 x 3, direct implem...
This paper presents research on decomposition of morphological grayscale structural functions so tha...
One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Repre...
A novel approach to implement gray-scale morphological operations is presented in this work. This ne...
A novel approach to implement gray-scale morphological operations is presented in this work. This ne...
Structuring element decomposition is used to reduce computation time in performing morphological ima...
Most image processing tasks like pattern matching are defined in terms of large-neighborhood DTCNN t...
Abstruct- Efficient implementation of morphological opera-tions requires the decomposition of struct...