CAJ | 학술논문

针对医学显微图像自动分析系统在应用中的实时性需求，根据显微镜细胞图像识别原理和多核流水设计准则，分析了细胞图像识别算法实时性，提出了一种基于TMS320C6678显微镜细胞图像识别并行流水实现方法。该方法实现了任务级并行流水，提高了系统的鲁棒性，达到了系统稳定和性能加速的目的。实验结果表明，该方法是可行、有效、可靠的，并且基于TMS320C6678的显微镜细胞识别系统的实时处理能力有很大提升。
침대의학현미도상자동분석계통재응용중적실시성수구，근거현미경세포도상식별원리화다핵류수설계준칙，분석료세포도상식별산법실시성，제출료일충기우TMS320C6678현미경세포도상식별병행류수실현방법。해방법실현료임무급병행류수，제고료계통적로봉성，체도료계통은정화성능가속적목적。실험결과표명，해방법시가행、유효、가고적，병차기우TMS320C6678적현미경세포식별계통적실시처리능력유흔대제승。
Aimming at the real-time requirement of the medical microscopic image recognition in equipment application, the real-time performance of cell image recognition algorithm is analyzed according to the cell image recognition theory and multi-core DSP design guideline,and a parallel implementation method of microscope cell image recognition algorithm based on TMS320C6678 is put forward. The method implemented task-level parallel pipeline,improved the robustness of the system, and reached the stability and performance acceleration of the system. Experiment results show that the method is feasible,effec-tive and reliable. The real-time processing capability of microscope cell image recognition system based on TMS320C6678 was improved much more.