New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction
Kadmin Ahmad Fauzan
Primary Author
mixed material
bibliography
Bandung
ITB Journal Publisher
2021
e
English
hlm : 216-238
Journal of ICT Research and Application
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.
Ilmu Teknik
JICTRA
23375787
Perpustakaan Teknik UPI YAI
JICTRA V15N3 December 2021
JICTRA6-003
Perpustakaan FT UPI YAI
JICTRA V15N3 December 2021
JICTRA_ITB_small.png.png
59061
2023-02-15 16:20:39
2023-02-15 16:20:39
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