The Effect of Adaptive Weighted Bilateral Filter on Stereo Matching Algorithm
Siti Safwana Abd Razak1, Mohd Azlishah Othman2, Ahmad Fauzan Kadmin3
1Siti Safwana Abd Razak, Faculty of Electronic and Computer Engineering (FKEKK), University Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Hang Tuah Jaya, 76100, Melaka, Malaysia.
2Mohd Azlishah Othman, Microwave Research Group (MRG), Centre for Telecommunication Research and Innovation (CeTRI), Faculty of Electronic and Computer Engineering (FKEKK), University Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Hang Tuah Jaya, 76100, Melaka, Malaysia.
3Ahmad Fauzan Kadmin, Faculty of Engineering Technology (FTK), University Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Hang Tuah Jaya, 76100, Melaka, Malaysia.
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 284-287 | Volume-8 Issue-3, February 2019 | Retrieval Number: C583902831919/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Stereo matching process is attracted numbers of study in recent years. The process is unique and difficult due to visual discomfort occurred which contributed to effect of accuracy of disparity maps. By using multistage technique implemented most of Stereo Matching Algorithm; taxonomy by D. Scharstein and R. Szeliski, in this paper proposed new improvement algorithm of stereo matching by using the effect of Adaptive Weighted Bilateral Filter as main filter in cost aggregation stage which able contribute edge-preserving factor and robust against plain colour region. With some improvement parameters in matching cost computation stage where windows size of sum of absolute different (SAD) and thresholds adjustment was applied and Median Filter as main filter in refinement disparity map’s stage may overcome the limitation of disparity map accuracy. Evaluation on indoor datasets, latest (2014) Middlebury dataset were used to prove that Adaptive Weighted Bilateral Filter effect applied on proposed algorithm resulted smooth disparity maps and achieved good processing time
Keywords: Bilateral Filter, Disparity Map, SAD, Stereo Matching
Scope of the Article: Machine Learning