مقاله Real-time speckle image processing : تی پی بین

خلاصه مقاله

The laser dynamic speckle is an optical phenomenon produced when a laser light is reflected from an illuminated surface undergoing some kind of activity. It allows a non-destructive process for the detection of activities that are not easily observable, such as seed viability, paint drying, bacterial activities, corrosion processes, food decomposition, fruit bruising, etc. The analysis of these processes in real time makes it possible to develop important practical applications of commercial, biological and technological interest. This paper presents a new digital system based on granular computing algorithms to characterize speckle dynamics within the time domain. The selected platform to evaluate the system is Field Programmable Gate Array (FPGA) technology. The obtained minimum clock periods and latencies enable speckle image processing with real-time constraints with a maximum throughput of about thousand 512 × 512 fps.

نویسندگان

Elías Todorovich [ Faculty of Engineering, FASTA University, Mar del Plata, Argentina ]

Ana Lucia Dai Pra [ Faculty of Engineering, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina ]

Lucia Isabel Passoni [ Faculty of Engineering, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina ]

Martín Vázquez [ Faculty of Engineering, FASTA University, Mar del Plata, Argentina ]

Ezequiel Cozzolino [ Faculty of Engineering, FASTA University, Mar del Plata, Argentina ]

کلمات کلیدی

Dynamic speckle Granular computing Programmable logic Real time processing Rough fuzzy sets

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مشاهده مقالات

Journal of Real-Time Image Processing 2013

Although there are many journals addressing the subject of image processing, the Journal of Real-Time Image Processing (JRTIP) is the only one that is solely dedicated to the real-time aspect of image and video processing. It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are never fully explored. JRTIP is thus intended to bridge the gap between the theory and practice of image and video processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing real-time image and video processing systems. The real-time aspect is critical in many real-world devices or products such as mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-assisted intelligent robots, spectral imaging systems, and many other embedded image or video processing systems. Topics covered in the journal include: Real-time image and video processing algorithmsReal-time embedded image/video processing systems Real-time image and video processing hardware and architecture including FPGA, DSP, GPU, GPP, ASIC, System-on-Chip (SoC), and System-in-a-Package (SiP) implementations Real-time software optimizations and related design paradigms for image/video processingReal-time hardware/software co-design for image and video processing Real-time image and video processing applications including digital, cell-phone, and smart cameras, machine vision, industrial inspection, surveillance and security, image and video compression, for transmission and for database storage and retrieval, biomedical imaging, spectral imaging, etc.

حوزه های تحت پوشش : Image Processing and Computer Vision, Multimedia Information Systems, Computer Graphics, Pattern Recognition