A multiscale morphological dilation-erosion smoothing operation and its associated scale-space expansion for multidimensional signals are proposed. Properties of this smoothing operation are developed and, in particular a scale-space monotonie property for signal extrema is demonstrated. Scale-space fingerprints from this approach have advantages over Gaussian scale-space fingerprints in that they are defined for negative values of the scale parameter; have monotonie properties in two and higher dimensions, do not cause features to be shifted by the smoothing, and allow efficient computation. The application of reduced multiscale dilation-erosion fingerprints to the surface matching of terrain is demonstrated
Relationships between linear and morphological scale-spaces have been considered by various previous...
Abstract. It has been observed that linear, Gaussian scale-space, and nonlinear, morphological erosi...
Image simplification plays a fundamental role in Image Processing to improve results in complex task...
Two scaled morphological operations, the multiscale dilation-erosion and the multiscale closing-open...
"Scale-space" is an important recent concept used in image and signal processing and patte...
This paper presents a novel approach to selecting appropriate scales for region detection prior to f...
In this paper, we describe a multiple-scale boundary representation based on morphological operation...
This paper presents a novel approach to selecting appropriate scales for region detection prior to f...
We introduce a class of nonlinear differential equations that are solved using morphological operati...
Abstract Morphological levelings are powerful operators and possess a num-ber of desired properties ...
Abstract. Morphological and linear scale spaces are well-established instruments in image analysis. ...
The downhill filter algorithm described in this paper isolates and preserves an ar-bitrarily complex...
After introducing several results relating to the modification of the homotopy of gradient functions...
This paper describes a new algorithm for performing erosion and dilation which is suitable for flat ...
In this paper, we propose an evolution equation for the active contours in scale spaces. This evolut...
Relationships between linear and morphological scale-spaces have been considered by various previous...
Abstract. It has been observed that linear, Gaussian scale-space, and nonlinear, morphological erosi...
Image simplification plays a fundamental role in Image Processing to improve results in complex task...
Two scaled morphological operations, the multiscale dilation-erosion and the multiscale closing-open...
"Scale-space" is an important recent concept used in image and signal processing and patte...
This paper presents a novel approach to selecting appropriate scales for region detection prior to f...
In this paper, we describe a multiple-scale boundary representation based on morphological operation...
This paper presents a novel approach to selecting appropriate scales for region detection prior to f...
We introduce a class of nonlinear differential equations that are solved using morphological operati...
Abstract Morphological levelings are powerful operators and possess a num-ber of desired properties ...
Abstract. Morphological and linear scale spaces are well-established instruments in image analysis. ...
The downhill filter algorithm described in this paper isolates and preserves an ar-bitrarily complex...
After introducing several results relating to the modification of the homotopy of gradient functions...
This paper describes a new algorithm for performing erosion and dilation which is suitable for flat ...
In this paper, we propose an evolution equation for the active contours in scale spaces. This evolut...
Relationships between linear and morphological scale-spaces have been considered by various previous...
Abstract. It has been observed that linear, Gaussian scale-space, and nonlinear, morphological erosi...
Image simplification plays a fundamental role in Image Processing to improve results in complex task...