Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
نویسندگان
چکیده
M arkovian approaches to early vision processes need a huge amount of computing power. These algorithms can usually be implemented on parallel computing structures. Herein, we show that the Markovian labeling approach can be implemented in fully parallel cellular network architectures, using simple functions and data representations. This makes possible to implement our model in parallel imaging VLSI chips.
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عنوان ژورنال:
- Real-Time Imaging
دوره 6 شماره
صفحات -
تاریخ انتشار 2000