In this paper, hardware optimization of the preprocessing part of a computer aided semen analysis (CASA) system is proposed, which is also implemented on an FPGA device as a working prototype. A real-time cellular neural network (CNN) emulator (RTCNNP-v2) is used for the realization of the image processing algorithms, whose regular, flexible and reconfigurable infrastructure simplifies the prototyping process. For future work, the post-processing part of the CASA system is proposed to be implemented on the same FPGA device as software, using either a soft or hard processor core. By the integration of the pre-and post-processing parts, the designed CASA system will be capable of processing full-HD 1080p@60 (1080×1920) video images in real-time.
Özetçe-Bu bildiride karma CPU + FPGA tabanlı bir donanım mimarisi üzerinde tasarlanan Bilgisayar DestekliSemen Analizi (BDSA) sistemi genel özellikleri ile anlatılmıştır. Spermatozoa motilite analizi hareketli çoklu nesne izleme algoritmasıdır, spermatozoa morfoloji analizi için ise ard arda uygulanan çeşitli durağan görüntü işleme yöntemleri ile yapılmaktadır. Sistemimizde kullanılan ve yüksek hız gerektiren hareketli ve durağan görüntü işleme işlevleri için FPGA yapısının paralel işlem yeteneğinden yararlanılmıştır. Çeşitli hesaplamalar ise geliştirilen özel yazılım ile CPU üzerinde gerçeklenmiştir. Biyolojik mikroskoba takılabilen bir HD dijital kamerayı da içermekte olan sistemimizin esnek programlanabilen ve tek başına çalışabilen bir akıllı sistem olarak çalışması da öngörülmüştür.
Anahtar Kelimeler -BDSA, sperm analizi, motilite, morfoloji, hareketli nesne izleme, segmantasyon, nesne belirleme, görüntü işleme, FPGA, CPU.Abstract-In this paper a Computer Assisted Semen Analysis (CASA) system designed on a hybrid CPU + FPGA hardware platform is presented. Multiple moving object tracking technique is used for spermatozoa motility analysis and an algorithm consisting of compositely applied various image processing techniques is used for spermatozoa morphology analysis. The parallel processing architecture of FPGA's are utilized for the image and video processing functions that our system use where high speed processing power is required. Various calculations are done on CPU by utilizing developed software. Our system incorporates also an HD digital camera which is mounted on a biological microscope. It has also been foreseen that our system will be a standalone intelligence system and flexibly programmable for different jobs.
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