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مجله پردازش تصویر در زمان واقعی 2013
جزئیات رویداد
همایش ، رویداد ، ژورنال
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  • fpga-based fast computation of gray-level morphological granulometries

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    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 1185
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    • شماره تماس دبیرخانه رویداد: -
     morphological granulometries constitute one of the most useful and versatile image analysis techniques applied to a wide range of tasks, from size distribution of objects, to feature extraction and to texture characterization in industrial and research applications where high-performance instrumentation and online signal processing are required. since granulometries are based on sequences of openings with structuring elements (ses) of increasing size, they are computational demanding on non-specialized hardware. in this paper, a pipelined hardware architecture for fast computation of gray-level morphological granulometries is presented, centered around two systolic-like processing arrays able to process with flat ses of different shapes and sizes. to validate the proposed scheme, the architecture was modeled, simulated and implemented into a field programmable gate array. implementation results show that the architecture is able to compute particle size distribution on 512 × 512 sized images with flat non-rectangular ses of up to 51 × 51, in around 60 ms at a clock frequency of 260 mhz. it is shown that a speed up over two orders of magnitude is obtained compared to a naive software implementation. the architecture performance compares favorably to similar hardware architectural schemes and to optimized high-performance graphical processing units-based implementations.

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