On directionality in morphological feature extraction

Authors:
Michał Świercz;Marcin Iwanowski
Affiliations:
Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland, Warszawa, Poland;Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland, Warszawa, Poland
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

Citing 6
Cited 0

Morphological Image Analysis: Principles and Applications

Morphological Image Analysis: Principles and Applications
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology
Morphological segmentation of binary patterns

Pattern Recognition Letters
Morphological classification of binary image's pixels

Machine Graphics & Vision International Journal
Pattern recognition using morphological class distribution functions and classification trees

ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Morphological feature extraction allows obtaining a feature vector that can be used in pattern recognition. It is a two stage process, based on the extraction of morphological spatial classes and class distribution functions in order to obtain a feature vector. In this paper, we discuss two ways of considering directionality within this process. The first approach is based on division of the image space into sectors, in which the spatial classes are computed. The second makes use of directional structuring element used by morphological operators. Example applications and test results are also presented in the paper.