Patents by Inventor Gerard Felteau

Gerard Felteau has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for determining whether a feature of interest or an anomaly is present in an image
    Patent number: 8045805
    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.
    Type: Grant
    Filed: March 14, 2006
    Date of Patent: October 25, 2011
    Assignee: Applied Visual Sciences, Inc.
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • METHOD OF CHARACTERIZING AN IMAGE SOURCE UTILIZING PREDETERMINED COLOR SPACES
    Publication number: 20110206251
    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.
    Type: Application
    Filed: October 25, 2010
    Publication date: August 25, 2011
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • Method of creating a divergence transform for identifying a feature of interest in hyperspectral data
    Patent number: 7907762
    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.
    Type: Grant
    Filed: January 14, 2008
    Date of Patent: March 15, 2011
    Assignee: Guardian Technologies International, Inc.
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • SYSTEM AND METHOD FOR IDENTIFYING SIGNATURES FOR FEATURES OF INTEREST USING PREDETERMINED COLOR SPACES
    Publication number: 20110052032
    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.
    Type: Application
    Filed: October 26, 2010
    Publication date: March 3, 2011
    Inventors: Thomas E. RAMSAY, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • System and method for determining whether there is an anomaly in data
    Patent number: 7840048
    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.
    Type: Grant
    Filed: January 14, 2008
    Date of Patent: November 23, 2010
    Assignee: Guardian Technologies International, Inc.
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • SYSTEM AND METHOD FOR TEXTURE VISUALIZATION AND IMAGE ANALYSIS TO DIFFERENTIATE BETWEEN MALIGNANT AND BENIGN LESIONS
    Publication number: 20100266179
    Abstract: A system and method for the analysis and visualization of normal and abnormal tissues, objects and structures in digital images generated by medical image sources 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, such as cancerous growths, 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.
    Type: Application
    Filed: November 27, 2009
    Publication date: October 21, 2010
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Victor Krivorotov, Gerard Felteau, Oleksandr Andrushchenko
  • System and method for identifying feature of interest in hyperspectral data
    Patent number: 7817833
    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.
    Type: Grant
    Filed: January 14, 2008
    Date of Patent: October 19, 2010
    Assignee: Guardian Technologies International, Inc.
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anaioliy Fesenko, Oleksandr Andrushchenko
  • System and method for using a template in a predetermined color space that characterizes an image source
    Publication number: 20090324097
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: December 31, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • System and method for identifying signatures for features of interest using predetermined color spaces
    Publication number: 20090324067
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: December 31, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • METHOD OF CREATING A DIVERGENCE TRANSFORM FOR IDENTIFYING A FEATURE OF INTEREST IN HYPERSPECTRAL DATA
    Publication number: 20090175526
    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.
    Type: Application
    Filed: January 14, 2008
    Publication date: July 9, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • System and method for identifying objects of interest in image data
    Patent number: 7496218
    Abstract: A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of dynamic discontinuity in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the chemical properties of the imaged objects. 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 statistically identical, generate radically different and statistically significant differences that can be easily measured.
    Type: Grant
    Filed: May 25, 2005
    Date of Patent: February 24, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard
  • System and method for identifying objects of interest in image data
    Patent number: 7492937
    Abstract: A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of dynamic discontinuity in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the chemical properties of the imaged objects. 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 statistically identical, generate radically different and statistically significant differences that can be easily measured.
    Type: Grant
    Filed: May 25, 2005
    Date of Patent: February 17, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard
  • SYSTEM AND METHOD FOR DETERMINING WHETHER THERE IS AN ANOMALY IN DATA
    Publication number: 20090010521
    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.
    Type: Application
    Filed: January 14, 2008
    Publication date: January 8, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • SYSTEM AND METHOD FOR IDENTIFYING FEATURE OF INTEREST IN HYPERSPECTRAL DATA
    Publication number: 20090010545
    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.
    Type: Application
    Filed: January 14, 2008
    Publication date: January 8, 2009
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anaioliy Fesenko, Oleksandr Andrushchenko
  • Method for characterizing an image source utilizing predetermined color spaces
    Publication number: 20080159605
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: July 3, 2008
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • Method for determining whether a feature of interest or an anomaly is present in an image
    Publication number: 20080159626
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: July 3, 2008
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • System and method for identifying feature of interest in hyperspectral data
    Publication number: 20060269140
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: November 30, 2006
    Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • Method of creating a divergence transform for a class of objects
    Publication number: 20060269161
    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.
    Type: Application
    Filed: March 14, 2006
    Publication date: November 30, 2006
    Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
  • System and method for identifying objects of interest in image data
    Publication number: 20060013463
    Abstract: A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of dynamic discontinuity in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the chemical properties of the imaged objects. 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 statistically identical, generate radically different and statistically significant differences that can be easily measured.
    Type: Application
    Filed: May 25, 2005
    Publication date: January 19, 2006
    Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard
  • System and method for identifying objects of interest in image data
    Publication number: 20060013464
    Abstract: A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of dynamic discontinuity in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the chemical properties of the imaged objects. 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 statistically identical, generate radically different and statistically significant differences that can be easily measured.
    Type: Application
    Filed: May 25, 2005
    Publication date: January 19, 2006
    Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard