3-D digital filters

M Ohki, ME Zervakis, AN Venetsanopoulos - Control and Dynamic Systems, 1995 - Elsevier
The areas of linear and nonlinear three-dimensional (3-D) digital filters have received
increasing attention in recent years. 3-D linear and nonlinear filters inherently belong to the …

The classification properties of the pecstrum and its use for pattern identification

V Anastassopoulos, AN Venetsanopoulos - Circuits, Systems and Signal …, 1991 - Springer
In this paper the shape information contents of a morphological vector descriptor, called
“pecstrum”(pattern spectrum), are investigated. The pecstrum is then used for aircraft …

Intoxication identification using thermal imaging

G Koukiou - Human-Robot Interaction-Theory and Application, 2017 - books.google.com
In this chapter, seven different approaches are presented for identifying persons who have
consumed alcohol. The main concept is to identify a drunk person based on the thermal …

Thermal Biometric Features for Drunk Person Identification Using Multi-Frame Imagery

G Koukiou - Electronics, 2022 - mdpi.com
In this work, multi-frame thermal imagery of the face of a person is employed for drunk
identification. Regions with almost constant temperature on the face of sober and drunk …

[PDF][PDF] Morphological autocorrelation transform: A new representation and classification scheme for two-dimensional images

A Venetsanopoulos, A Loui, KC Smith - 1992 - tspace.library.utoronto.ca
Pi methodology based on mathematical morphol-ogy is proposed for efficient recognition of
two-dimensional (2-D) objects or shapes. This novel approach is based on the introduction …

Pattern classification and recognition based on morphology and neural networks

P Yu, V Anastassopoulos… - Canadian Journal of …, 1992 - ieeexplore.ieee.org
Morphological transformations are an efficient method for shape analysis and
representation. In this work the pecstrum (pattern spectrum), which is a morphological shape …

Morphological Image and Signal Processing

I Pitas, AN Venetsanopoulos, I Pitas… - Nonlinear Digital Filters …, 1990 - Springer
The final goal of image processing and analysis is, often, to segment the image into objects
in order to analyze the geometric properties (eg, the size) and the structure of the objects …

[引用][C] Multidimensional shape recognition using mathematical morphology

JF Bronskill, AN Venetsanopoulos - Proc. Int. Workshop on Time-Varying Image …, 1986

[引用][C] APPLICATIONS OF MORPHOLOGICAL FILTERS IN EDGE DETECTION AND SHAPE DESCRIPTION

V Cappellini, NJ Daniels, C Raspollini… - Time-varying Image …, 1990 - North-Holland