Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 3 2021
New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 3 2021
New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction
New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction
Subject
adaptive gamma correction; adaptive histogram equalization; pre-processing; stereo matching algorithm; stereo vision.
Description
Abstract. This work presents the composition of a new algorithm for a stereo vision system to acquire accurate depth measurement from stereo correspondence. Stereo correspondence produced by matching is commonly affected by image noise such as illumination variation, blurry boundaries, and radiometric differences. The proposed algorithm introduces a pre-processing step based on the
combination of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Gamma Correction Weighted Distribution (AGCWD) with a guided filter (GF). The cost value of the pre-processing step is determined in the matching cost step using the census transform (CT), which is followed by aggregation using the fixed-window and GF technique. A winner-takes-all (WTA) approach is employed to select the minimum disparity map value and final refinement using left-right consistency checking (LR) along with a weighted median filter (WMF) to remove outliers. The algorithm improved the accuracy 31.65% for all pixel errors and 23.35% for pixel errors in nonoccluded regions compared to several
established algorithms on a Middlebury dataset.
combination of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Gamma Correction Weighted Distribution (AGCWD) with a guided filter (GF). The cost value of the pre-processing step is determined in the matching cost step using the census transform (CT), which is followed by aggregation using the fixed-window and GF technique. A winner-takes-all (WTA) approach is employed to select the minimum disparity map value and final refinement using left-right consistency checking (LR) along with a weighted median filter (WMF) to remove outliers. The algorithm improved the accuracy 31.65% for all pixel errors and 23.35% for pixel errors in nonoccluded regions compared to several
established algorithms on a Middlebury dataset.
Creator
Ahmad Fauzan, Rostam Affendi, Nurulfajar, Mohd Saad, Nadzrie & Tg. Mohd Faisal
Source
DOI: 10.5614/itbj.ict.res.appl.2021.15.3.3
Publisher
IRCS-ITB
Date
08 September 2021
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 3 2021
Files
Collection
Citation
Ahmad Fauzan, Rostam Affendi, Nurulfajar, Mohd Saad, Nadzrie & Tg. Mohd Faisal, “Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 3 2021
New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/3428.
New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/3428.