کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
534575 | 870267 | 2013 | 10 صفحه PDF | دانلود رایگان |
In this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel algorithm has been implemented in a novel device architecture called CUDA™(Compute Unified Device Architecture). The implementation has been designed via tissue P systems on the framework of Membrane Computing. Some examples and experimental results are also presented.
► Membrane Computing is inspired by the structure and functioning of cells.
► We present a bio-inspired operator (AGP segmentator) to do edge detection.
► The complexity of AGP segmentator is logarithmic with respect to the input data.
► We present a parallel implementation with CUDA based in our algorithm.
Journal: Pattern Recognition Letters - Volume 34, Issue 8, 1 June 2013, Pages 846–855