Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2006-03-14
2011-10-25
Le, Vu (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S131000, C382S132000, C382S164000, C382S165000
Reexamination Certificate
active
08045805
ABSTRACT:
A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical, chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured.
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Andrushchenko Oleksandr
Felteau Gerard
Fesenko Anatoliy
Hamilton Victor
Ramsay Eugene B.
Applied Visual Sciences, Inc.
Le Vu
Vanchy, Jr. Michael
Vazquez, Esq. René A.
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