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Erschienen in: Pattern Recognition and Image Analysis 3/2019

01.07.2019 | APPLIED PROBLEMS

Detection and Restoration of Image from Multi-Color Fence Occlusions

verfasst von: M. Varalakshmamma, T. Venkateswarlu

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 3/2019

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Abstract

In Image De-fencing, segmentation and restoration of occluded fence region from the images are very challenging, when the desired object is occluded with an undesired object. This undesired object may be scattered in the whole image region. Existing algorithms can only detect single colored fences at a time from the digital images. This paper presents a multi-colored fence detection algorithm. Multi-threshold segmentation technique is used to segment the fence in the image. The segmented mask is amended by using morphological operations. To restore the fence occluded area in an image hybrid inpainting technique is used. Obtained results after experimentation are compared with the start-of-art image de-fencing technique.

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Metadaten
Titel
Detection and Restoration of Image from Multi-Color Fence Occlusions
verfasst von
M. Varalakshmamma
T. Venkateswarlu
Publikationsdatum
01.07.2019
Verlag
Pleiades Publishing
Erschienen in
Pattern Recognition and Image Analysis / Ausgabe 3/2019
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661819030209

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