Patents by Inventor Oleksandr Andrushchenko
Oleksandr Andrushchenko 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).
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Publication number: 20240104701Abstract: A method for visualizing luminance variance for an object may include receiving image data associated with a digital image of the object. An algorithm is applied to the image data to generate an enhanced image. The enhanced image includes connected pixel value lines representative of pixel value ranges from the input image to enable visualization of luminance variance of the object by the human eye.Type: ApplicationFiled: September 18, 2023Publication date: March 28, 2024Applicant: Imago Systems, Inc.,Inventors: Gene Ramsay, Thomas E. Ramsay, Karen Morgan, Oleksandr Andrushchenko, Anna Yang, Jermaine Headley, Victor Krivorotov, Gennadiy Lyashenko
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Patent number: 8045805Abstract: 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: GrantFiled: March 14, 2006Date of Patent: October 25, 2011Assignee: Applied Visual Sciences, Inc.Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20110206251Abstract: 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: ApplicationFiled: October 25, 2010Publication date: August 25, 2011Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Patent number: 7907762Abstract: 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: GrantFiled: January 14, 2008Date of Patent: March 15, 2011Assignee: Guardian Technologies International, Inc.Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20110052032Abstract: 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: ApplicationFiled: October 26, 2010Publication date: March 3, 2011Inventors: Thomas E. RAMSAY, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Patent number: 7840048Abstract: 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: GrantFiled: January 14, 2008Date of Patent: November 23, 2010Assignee: Guardian Technologies International, Inc.Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20100266179Abstract: 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: ApplicationFiled: November 27, 2009Publication date: October 21, 2010Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Victor Krivorotov, Gerard Felteau, Oleksandr Andrushchenko
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Patent number: 7817833Abstract: 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: GrantFiled: January 14, 2008Date of Patent: October 19, 2010Assignee: Guardian Technologies International, Inc.Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anaioliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20090324097Abstract: 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: ApplicationFiled: March 14, 2006Publication date: December 31, 2009Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20090324067Abstract: 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: ApplicationFiled: March 14, 2006Publication date: December 31, 2009Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20090175526Abstract: 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: ApplicationFiled: January 14, 2008Publication date: July 9, 2009Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20090010521Abstract: 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: ApplicationFiled: January 14, 2008Publication date: January 8, 2009Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20090010545Abstract: 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: ApplicationFiled: January 14, 2008Publication date: January 8, 2009Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anaioliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20080159605Abstract: 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: ApplicationFiled: March 14, 2006Publication date: July 3, 2008Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20080159626Abstract: 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: ApplicationFiled: March 14, 2006Publication date: July 3, 2008Inventors: Thomas E. Ramsay, Eugene B. Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20060269135Abstract: 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: ApplicationFiled: March 14, 2006Publication date: November 30, 2006Inventors: Thomas Ramsay, Eugene Ramsay, Gerald Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20060269161Abstract: 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: ApplicationFiled: March 14, 2006Publication date: November 30, 2006Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko
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Publication number: 20060269140Abstract: 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: ApplicationFiled: March 14, 2006Publication date: November 30, 2006Inventors: Thomas Ramsay, Eugene Ramsay, Gerard Felteau, Victor Hamilton, Martin Richard, Anatoliy Fesenko, Oleksandr Andrushchenko