M. Z. Abbas Shah, Syed. and Marshall, Stephen and Murray, Paul (2017) Removal of specular reflections from image sequences using feature correspondences. Machine Vision and Applications, 28 (3). pp. 409-420. ISSN 0932-8092
Shah_etal_MVA2017_Removal_of_specular_reflections_from_image_sequences.pdf - Accepted Author Manuscript
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The presence of specular highlights can hide underlying features of a scene within an image and can be problematic in many application scenarios. In particular, this poses a significant challenge for applications where image stitching is used to create a single static image of a scene from inspection footage of pipes, gas tubes, train tracks and concrete structures. Furthermore, they can hide small defects in the images causing them to be missed during inspection. We present a method which exploits additional information in neighbouring frames from video footage to reduce specularity from each frame. The technique first automatically determines frames which contain overlapping regions before the relationship that exists between them is exploited in order to suppress the effects of specular reflections. This results in an image that is free from specular highlights provided there is at least one frame present in the sequence where a given pixel is present in a diffuse form. The method is shown to work well on greyscale as well as colour images and effectively reduces specularity and significantly improves the quality of the stitched image, even in the presence of noise. While applied to the challenge of reducing specularity in inspection videos, the method improves upon the state-of-the-art in specularity removal, and, its applications are wider ranging as a general purpose pre-processing tool.
|Notes:||The final publication is available at Springer via http://dx.doi.org/10.1007/s00138-017-0826-6|
|Keywords:||image projection, specular reflection removal, visual inspection, non-destructive evaluation, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||02 Feb 2017 16:31|
|Last modified:||26 Apr 2017 15:37|