DocumentCode
3433621
Title
Image inpainting using vanishing point analysis and scene segmentation
Author
Hassan, Eman T. ; Abbas, Hazem M. ; Mohamed, Hoda K.
Author_Institution
Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
fYear
2013
fDate
27-29 Aug. 2013
Firstpage
189
Lastpage
194
Abstract
A new image inpainting technique is developed to fit perfectly for special categories of images that contain mainly buildings. This technique handles the need to obtain an image of building free from parking cars along sides of the roads. To do that, one needs to carefully inpaint the roads and the missing parts of images. This can be done by combining vanishing points detections and image segmentation. After detecting vanishing points, it is possible to draw the line dividing the missing regions into two parts: the road part and the building part. Each part should be then inpainted independently using a different source region for each one. A segmentation technique, which is based on color and texture features, is employed to extract a source region for road part inpainting. Simple geometric calculations are employed to detect the source region for building part inpainting.
Keywords
feature extraction; geometry; image colour analysis; image segmentation; image texture; building part; building part inpainting; color features; geometric calculations; image inpainting technique; road part; road part inpainting; scene segmentation; source region extraction; texture features; vanishing points detections; Buildings; Classification algorithms; Equations; Image color analysis; Image segmentation; Mathematical model; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing (PACRIM), 2013 IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
ISSN
1555-5798
Type
conf
DOI
10.1109/PACRIM.2013.6625472
Filename
6625472
Link To Document