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This multiple bank memory has the same footprint as a single bank design.
This multiple bank memory storage stores the image in separate memory banks.
Section 3 will describe a multiple bank memory storage method based on graph analysis.
The multiple bank memory approach can also be applied to other watershed architectures such as those proposed in [10 13, 15].
Before going into the details of our architecture, we will discuss a multiple bank memory storage scheme based on graph analysis.
This paper proposed a fast method of implementing the watershed transform based on rainfall simulation with a multiple bank memory addressing scheme to allow parallel access to the centre and neighbourhood pixel values.
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More specifically, our implementation with 3969-word multiple-bank memory, 63 word-size comparators, 64 word-size multiplexers, and 63 word-size registers only requires some 8k clock cycles to sort an arbitrary 3969-word long array of random data, which arrive at the sorter and also depart it one item at a time.
This multiple bank storage method has the same memory requirement as methods which store the pixel values in a single bank.
These binary values go through some logic as shown in Figure 8 or in equation form: Figure 8 The addressing scheme for the multiple bank graph-based memory storage.
The storage requirement of the multiple bank implementation is the same as a single bank implementation by using a graph-based memory bank addressing scheme.
Deflation in Germany at the same time, though eclipsed in the common memory by the damage done by the hyperinflation of the 1920s, caused a number of multiple bank collapses.
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