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An algorithm for thinning noisy images
R. Ramaseshan, Aakash A. Ravichandran
Published in Publ by IEEE, Piscataway, NJ, United States
1990
Volume: 4
   
Pages: 2217 - 2220
Abstract
A two-step algorithm is presented for thinning noisy images. The first step consists of removing noisy spurs from an image using a combination of morphological operations. In the second step, thinning is performed by using the standard morphological skeleton transform (MST). This approach is useful in model-based vision applications where the features of the image are required for object recognition. The use of this algorithm in sensor array imaging situations is demonstrated.
About the journal
JournalData powered by TypesetICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherData powered by TypesetPubl by IEEE, Piscataway, NJ, United States
ISSN07367791
Open AccessNo
Concepts (9)
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    Computer vision
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    Image sensors
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    Mathematical transformations
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    Redundancy
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    IMAGE THINNING
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    MORPHOLOGICAL SKELETON TRANSFORM
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    NOISY IMAGES
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    SENSOR ARRAY IMAGING
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    Image processing