Pattern Recognition and Image Analysis | 2019
Detection and Restoration of Image from Multi-Color Fence Occlusions
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.