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Abstract Header

Histogram-based template matching object detection in images with varying brightness and contrast

Schrider, Christina Da-Wann
http://rave.ohiolink.edu/etdc/view?acc_num=wright1224044521

Abstract Details

2008, Master of Science in Engineering (MSEgr), Wright State University, Biomedical Engineering.
Our challenge was to develop a semi-automatic target detection algorithm to aid human operators in locating potential targets within images. In contrast to currently available methods, our approach is relatively insensitive to image brightness, image contrast and object orientation. Working on overlapping image blocks, we used a sliding difference method of histogram matching. Incrementally sliding the histograms of the known object template and the image region of interest (ROI) together, the sum of absolute histogram differences was calculated. The minimum of the resultant array was stored in the corresponding spatial position of a response surface matrix. Local minima of the response surface suggest possible target locations. Because the template contrast will rarely perfectly match the contrast of the actual image contrast, which can be compromised by illumination conditions, background features, cloud cover, etc., we perform a random contrast manipulation, which we term ‘wobble’, on the template histogram. Our results have shown improved object detection with the combination of the sliding histogram difference and wobble.
Julie Skipper, PhD (Advisor)
Daniel Repperger, PhD (Committee Member)
Thomas Hangartner, PhD (Committee Member)
S. Narayanan, PhD (Other)
Joseph F. Thomas, Jr., PhD (Other)
90 p.
Biomedical Research; Engineering; Scientific Imaging
object detection; target detection; computer-aided diagnosis; template matching; image contrast

Recommended Citations

Citations

  • Schrider, C. D.-W. (2008). Histogram-based template matching object detection in images with varying brightness and contrast [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1224044521

    APA Style (7th edition)

  • Schrider, Christina. Histogram-based template matching object detection in images with varying brightness and contrast. 2008. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1224044521.

    MLA Style (8th edition)

  • Schrider, Christina. "Histogram-based template matching object detection in images with varying brightness and contrast." Master's thesis, Wright State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1224044521

    Chicago Manual of Style (17th edition)

wright1224044521
5,516
© 2008, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.