U.S. patents available from 1976 to present.
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Image processing system and method for image segmentation using intensity contrast and depth contrast values

Patent 7050646 Issued on May 23, 2006. Estimated Expiration Date: Icon_subject December 8, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Process for estimating disparity between the monoscopic images making up a sterescopic image Patent #: 5727078
Issued on: 03/10/1998
Inventor: Chupeau

Inventors

Assignee

Application

No. 10129788 filed on 12/08/2000

US Classes:

382/254, IMAGE ENHANCEMENT OR RESTORATION382/154, 3-D or stereo imaging analysis348/619, Averaging type358/1.9Attribute control

Examiners

Primary: Patel, Kiran
Assistant: Seth, Manav

Attorney, Agent or Firm

International Class

G06K 9/40

Abstract

A method and system for processing an image recorded by an imaging device may include: a) providing an image having an array of adjacent elements each corresponding to a respective part of the image and having a respective intensity value associated therewith; b) processing the intensity values to determine an intensity contrast value for each respective element according to differences in intensity values between respective adjacent elements; c) determining a depth value for each element corresponding to the distance between the imaging device and at least part of an image forming object represented in the image by the respective element; d) processing the depth values to determine a depth contrast value for each respective element according to differences in depth values between respective adjacent elements; and, processing the intensity contrast values and depth contrast values to identify at least one area of the image corresponding to one or more respective objects in the image being processed. The last noted process step can be a non-linear diffusion process whereby variations in grey level values are diffused in regions corresponding to objects or background and enhanced in regions corresponding to object boundaries.

Other References

  • Ebroul, IEEE 1999, “Disparity/Segmentation Analysis:Matching with an adaptive window and depth driven segmentation”. (pp. 589-607).
  • Ghanbari et al., IEEE 1999, “Motion-driven object segmentation in scale-space”. (pp. 3473-3476).
  • Imme, 1991, “A noise peak elimination filter”. (pp. 204-211).
  • Baxes, Book Publication, 1994, “Digital image processing: principles and application”. (pp. 62-64. 73-77, 123-155. 330-334).
  • Acton et al., IEEE, 1994, “Anisotropic diffusion pyramids for image segmentation”.(pp. 478-482).
  • Yokoya et al., IEEE, 1989, “Range image segmentation based on differential geometry: a hybrid approach”. (pp. 643-649).
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