Image analysis – Pattern recognition
Reexamination Certificate
2006-09-19
2006-09-19
Mariam, Daniel (Department: 2625)
Image analysis
Pattern recognition
C382S291000
Reexamination Certificate
active
07110601
ABSTRACT:
A method for detecting a linear image in a planar picture is provided whereby the positions of a linear image can be determined by devising suitable processing of image data, even if a linear image traced by a moving object, such as space debris, a meteor, or the like, does not appear clearly on a picture. Image data processing, consisting of division processing (S2) for dividing image data of a planar picture captured by an imaging element into a plurality of mutually parallel columnar image data and representative value selection processing (S3) for taking the median value determined for each of the columnar image data as a representative value for the corresponding columnar image data, is performed in every direction of said planar picture, whereupon analysis processing consisting of significant value detection processing (S6) for detecting whether or not said representative value of each of said columnar image data is a significant value, and linear image position identification processing (S7) for identifying the linear position of columnar image data having a representative value indicating a significant value as the position of a linear image resulting from the passage of the moving object or the like, is performed.
REFERENCES:
patent: 5684894 (1997-11-01), Shustorovich
Hendry, et al.“Automated linear feature detection and its application to curve location in synthetic radar imagery”, IEEE, 1988, pp. 1521-1524.
English translation of Abstract of the Foundation for Promotion of Japanese Aerospace Technology (JAST), Result Report of Survey and Study for Optical Telescopes for Observing Debris and Small planets in the Vicinity of the Earth, Mar. 1998.
Nakajima Atsushi
Yanagisawa Toshifumi
Japan Aerospace Exploration Agency
Japan Science and Technology Corporation
Mariam Daniel
Westerman, Hattori, Daniels & Adrian , LLP.
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