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Visual Search for Objects with Straight Lines

Melikian, Simon Haig

Abstract Details

2006, Doctor of Philosophy, Case Western Reserve University, Electrical Engineering.
I present a new method of visual search for objects that include straight lines. This is usually the case for machine-made objects. I describe existing machine vision search methods and show how my method of visual search gives better performance on objects that have straight lines. Inspired from human vision, a two-step process is used. First, straight line segments are detected in an image and characterized by their length, mid-point location, and orientation. Second, hypotheses that a particular straight line segment belongs to a known object are generated and tested. The set of hypotheses is constrained by spatial relationships in the known objects. I discuss implementation of my method and its performance and limitations in real and synthetic images. The speed and robustness of my method make it immediately applicable to many machine vision problems.
Christos Papachristou (Advisor)
107 p.

Recommended Citations

Citations

  • Melikian, S. H. (2006). Visual Search for Objects with Straight Lines [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738

    APA Style (7th edition)

  • Melikian, Simon. Visual Search for Objects with Straight Lines. 2006. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738.

    MLA Style (8th edition)

  • Melikian, Simon. "Visual Search for Objects with Straight Lines." Doctoral dissertation, Case Western Reserve University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738

    Chicago Manual of Style (17th edition)