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A study on the design of an efficient hardware and software mixed-mode image processing system for detecting patient movement (환자움직임 감지를 위한 효율적인 하드웨어 및 소프트웨어 혼성 모드 영상처리시스템설계에 관한 연구)

Seungmin Jung;Euisung Jung;Myeonghwan Kim
- Journal of Internet Computing and Services
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- v.25 no.1
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- pp.29-37
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- 2024
In this paper, we propose an efficient image processing system to detect and track the movement of specific objects such as patients. The proposed system extracts the outline area of an object from a binarized difference image by applying a thinning algorithm that enables more precise detection compared to previous algorithms and is advantageous for mixed-mode design. The binarization and thinning steps, which require a lot of computation, are designed based on RTL (Register Transfer Level) and replaced with optimized hardware blocks through logic circuit synthesis. The designed binarization and thinning block was synthesized into a logic circuit using the standard 180n CMOS library and its operation was verified through simulation. To compare software-based performance, performance analysis of binary and thinning operations was also performed by applying sample images with 640 × 360 resolution in a 32-bit FPGA embedded system environment. As a result of verification, it was confirmed that the mixed-mode design can improve the processing speed by 93.8% in the binary and thinning stages compared to the previous software-only processing speed. The proposed mixed-mode system for object recognition is expected to be able to efficiently monitor patient movements even in an edge computing environment where artificial intelligence networks are not applied.
https://doi.org/10.7472/jksii.2024.25.1.29 인용 PDF HTML