Detection and Restoration of Image from Multi-Color Fence Occlusions
- 作者: Varalakshmamma M.1, Venkateswarlu T.1
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隶属关系:
- S.V University College of Engineering
- 期: 卷 29, 编号 3 (2019)
- 页面: 546-558
- 栏目: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195682
- DOI: https://doi.org/10.1134/S1054661819030209
- ID: 195682
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详细
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.
作者简介
M. Varalakshmamma
S.V University College of Engineering
编辑信件的主要联系方式.
Email: varalaxmi.39@gmail.com
印度, Tirupati, A.P.
T. Venkateswarlu
S.V University College of Engineering
编辑信件的主要联系方式.
Email: warlu57@gmail.com
印度, Tirupati, A.P.
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