Threshold superposition in morphological image analysis systems

1990 ◽  
Vol 12 (5) ◽  
pp. 498-504 ◽  
Author(s):  
P. Maragos ◽  
R.D. Ziff
Keyword(s):  
Image Analysis ◽  
Morphological Image Analysis ◽  
Morphological Image

scholarly journals Integral-geometry morphological image analysis

2001 ◽  
Vol 347 (6) ◽  
pp. 461-538 ◽  
Author(s):  
K. Michielsen ◽  
H. De Raedt
Keyword(s):  
Image Analysis ◽  
Integral Geometry ◽  
Morphological Image Analysis ◽  
Morphological Image

scholarly journals IMAGE AND SHAPE COMPARISON VIA MORPHOLOGICAL CORRELATION

2021 ◽  
Vol XLIV-2/W1-2021 ◽  
pp. 207-211
Author(s):  
Y. V. Vizilter ◽  
S. Y. Zheltov ◽  
M. A. Lebedev
Keyword(s):  
Image Analysis ◽  
Correlation Coefficient ◽  
Image Matching ◽  
Shape Matching ◽  
Image Correlation ◽  
Shape Comparison ◽  
Shape Models ◽  
Morphological Image Analysis ◽  
Morphological Image ◽  
Morphological Correlation

Abstract. A lot of image matching applications require image comparison to be invariant relative to intensity values variations. The Pyt’ev theory for Morphological Image Analysis (MIA) was developed based on image-to-shape matching with mosaic shape models. Within the framework of this theory, the problem of shape-to-shape comparison was previously considered too. The most sophisticated and weakest part of MIA theory is the comparison of mosaic shapes with some arbitrary restrictions described by graphs or relations. In this paper we consider the possible options for comparing images and shapes using morphological projection and morphological correlation. Our contribution is a new scheme of morphological shape-to-image projection and, correspondingly, the new morphological correlation coefficient (MCC) for shape-to-image correlation with restricted mosaic models. We also refine the expressions for shape-to-shape comparison.

Sign in / Sign up

Export Citation Format

Share Document