Search Results - "Nercessian, S"

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  1. 1

    A non-reference measure for objective edge map evaluation by Nercessian, S., Panetta, K., Agaian, S.

    “…Edge detection has been used extensively as a preprocessing step for many computer vision tasks. Due to its importance in image processing and the highly…”
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    Conference Proceeding
  2. 2

    Human visual system-based image fusion for surveillance applications by Nercessian, S., Panetta, K., Agaian, S.

    “…Image fusion algorithms combine images obtained using different sensors into a single image to provide contextual enhancement of the scene being observed. The…”
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    Conference Proceeding
  3. 3

    Multi-scale image fusion using the Parameterized Logarithmic Image Processing model by Nercessian, S, Panetta, K, Agaian, S

    “…Image fusion is the process of combining multiple images into a single image which retains the most pertinent information from each original image source. More…”
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    Conference Proceeding
  4. 4

    Improving edge-based feature extraction using feature fusion by Nercessian, S., Panetta, K., Agaian, S.

    “…Feature extraction is arguably the most important stage of an automatic object detection system. It is in this stage where the results of previous processing…”
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    Conference Proceeding
  5. 5

    Automatic Detection of Potential Threat Objects in X-ray Luggage Scan Images by Nercessian, S., Panetta, K., Agaian, S.

    “…The detection of threat objects using X-ray luggage scan images has become an important means of aviation security. Most airport screening is still based on…”
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    Conference Proceeding
  6. 6

    Image fusion using the Parameterized Logarithmic Dual Tree Complex Wavelet Transform by Nercessian, S, Panetta, K, Agaian, S

    “…Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a…”
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    Conference Proceeding
  7. 7

    An edge-based approach to image fusion of images via reconstruction estimation by Nercessian, S., Panetta, K., Agaian, S.

    “…Image fusion algorithms attempt to combine multiple registered images into a single image in a way which retains the most pertinent information from each of…”
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    Conference Proceeding
  8. 8

    A parametric method for edge detection based on recursive mean-separate image decomposition by Nercessian, S., Panetta, K., Agaian, S.

    “…Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image…”
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    Conference Proceeding