An Efficient Implementation of a Census-Based Stereo Matching and Its Applications in Medical Imaging
Compared to most conventional efficient stereo matching algorithms that based on NCC (Normalized Cross-Correlation) or SAD (Sum of Absolute Difference), stereo matching based on census transform is robust to radiometric distortion. Thus, in the paper we propose a census-based efficient
implementation stereo algorithm for medical imaging. Firstly, census-based stereo matching is investigated, and its specific implementation process is analyzed in detail. Secondly, in order to simplify the calculation process and improve the efficiency, the moving window and memory organization
optimized techniques are used. The program runs on standard PC hardware utilizing various SSE2 instructions. Finally, stereo matching of four standard image pairs on the Middlebury image datasets and a paired cervical images obtained from clinical colposcope are implemented in an efficient
way. The experimental results on simulated and real medical images prove the effectiveness of the method for the computational cost.
Keywords: CENSUS TRANSFORM; CERVICAL IMAGE; MEDICAL IMAGING; MOVING WINDOW TECHNIQUE; STEREO MATCHING
Document Type: Research Article
Publication date: 01 August 2019
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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