Patents by Inventor Eugene B. Ramsay

Eugene B. Ramsay 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).

  • Publication number: 20180109698
    Abstract: A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.
    Type: Application
    Filed: February 8, 2017
    Publication date: April 19, 2018
    Inventors: Thomas E. Ramsay, Eugene B. Ramsay
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Patent number: 5321681
    Abstract: Optical apparatus incorporating a lighting source capable of providing a substantial equal irradiance at each point of an image plane for use in backlighting transparencies during their reproduction and recordation. There is also disclosed and claimed apparatus using the lighting source to produce for the first time high quality electronic images in an analogue format of medical imagery originally or subsequently produced in a tangible form such as X-ray, CT, or MR images. There is further disclosed an integrated system providing apparatus for converting, storing, and retrieving images originally produced in tangible or intangible form that are subsequently converted to an analogue electronic format and stored in analogue format on an optical disc in an optical disc library. The system includes the apparatus for converting the tangible images into high quality electronic images and for converting digital images produced during CT or MR imaging or the like into a common analogue medium.
    Type: Grant
    Filed: November 21, 1990
    Date of Patent: June 14, 1994
    Assignee: Image Premastering Services, Ltd.
    Inventors: Eugene B. Ramsay, Thomas E. Ramsay, James E. Swendsen
  • Patent number: 4757374
    Abstract: A method and apparatus for reproducing and recording images from an original slide, film strip, microfiche, or the like to the same or another medium, including a portable modular system which may be readily moved from one location to another. The portable modular system includes an image support module which supports the image to be recorded along the optical axis of the system. An image recorder module is provided with a recording surface upon which the original is to be recorded. A condensing lens module is positioned between the image support module and the recorder module, and a projection lens module is positioned along the optical axis between the condenser lens module and the image support module. A zoom optics lens is positioned along the optical axis adjacent the recorder module.
    Type: Grant
    Filed: March 20, 1986
    Date of Patent: July 12, 1988
    Assignee: Image Premastering Services, Ltd.
    Inventors: Eugene B. Ramsay, Thomas E. Ramsay