This work presents a novel parallel technique to implement stack morphological filters for image processing. The method relies on ap-plying the image bitwise decomposition to manipulate the grayscale image at a bit-plane level, while simple logical operations and Pos-itive Boolean Functions (PBF’s) are executed in parallel to derive the transformed bit-planes. The relationship between the bitwise and threshold decomposition is closely investigated and analysed, which lead us to derive an algorithm whose control flow is full bi-nary encoded. Furthermore, the algorithm exhibits an interesting performance, which depends on the image histogram thanks to its hierarchical processing and the study of the relationship among bi-nary decompositions
International audienceMany useful morphological filters are built as more or less long concatenation...
Stack filters are a class of non-linear spatial operators used for suppression of noise in signals. ...
In this paper, we extend the configuration of stack filtering to develop a new class of stack-type f...
This work presents a novel parallel technique to implement stack morphological filters for image pro...
With the development of novel parallel architectures for image processing, the implementation of wel...
With the development of novel parallel architectures for image processing, the implementation of wel...
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...
Stack filters are easily implemented nonlinear filters which include all rank-order operators and al...
In this paper, a new method to compute the image histogram is presented, along with the image maximu...
Morphology is a common technique used in image processing because it is a powerful tool with relativ...
This thesis deals with efficient algorithms for morphological image processing. Each chapter deals w...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper deals with a large class of nonlinear digital filters, the stack filters, which contain a...
The efficiency of implementations of binary morphology is investigated, using both full image raster...
International audienceMany useful morphological filters are built as more or less long concatenation...
Stack filters are a class of non-linear spatial operators used for suppression of noise in signals. ...
In this paper, we extend the configuration of stack filtering to develop a new class of stack-type f...
This work presents a novel parallel technique to implement stack morphological filters for image pro...
With the development of novel parallel architectures for image processing, the implementation of wel...
With the development of novel parallel architectures for image processing, the implementation of wel...
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...
Stack filters are easily implemented nonlinear filters which include all rank-order operators and al...
In this paper, a new method to compute the image histogram is presented, along with the image maximu...
Morphology is a common technique used in image processing because it is a powerful tool with relativ...
This thesis deals with efficient algorithms for morphological image processing. Each chapter deals w...
Stack filters are a class of discrete-time, nonlinear filters which are defined in terms of positive...
This paper deals with a large class of nonlinear digital filters, the stack filters, which contain a...
The efficiency of implementations of binary morphology is investigated, using both full image raster...
International audienceMany useful morphological filters are built as more or less long concatenation...
Stack filters are a class of non-linear spatial operators used for suppression of noise in signals. ...
In this paper, we extend the configuration of stack filtering to develop a new class of stack-type f...