Hit-or-miss Transform

The "Hit-Or-Miss Transform" is a morphological operation in image processing that detects specific spatial configurations of foreground and background pixels by applying a pair of disjoint structuring elements to match the target pattern exactly.

45

Publications

1.7K

Citations

82

Authors

55

Institutions

Publications per year

2017–2026

4

Variants

Hit-or-miss Transformation

Authors

82

  1. DC
    David Casasent

    Carnegie Mellon University, United States

    4 publications · 68 citations

    4

    h-index

  2. SL
    Sébastien Lefèvre

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    4 publications · 160 citations

    4

    h-index

  3. ER
    Edward R. Dougherty

    Texas A&M University, United States

    3 publications · 78 citations

    3

    h-index

  4. CR
    Christian Ronse

    Centre National de la Recherche Scientifique, France

    3 publications · 116 citations

    3

    h-index

  5. DH
    Dong-Chen He

    Université de Sherbrooke, Canada

    2 publications · 87 citations

    2

    h-index

1–5 of 82

Venues

  1. 5

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  2. IEEE Transactions on Image Processing

    3 publications · 165 citations

    3

    h-index

  3. Optical Engineering

    3 publications · 89 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 136 citations

    3

    h-index

  5. Journal of Marketing

    JM · 2 publications · 98 citations

    2

    h-index

1–5