PMID- 24288456
OWN - NLM
STAT- MEDLINE
DCOM- 20140717
LR  - 20211021
IS  - 1537-744X (Electronic)
IS  - 2356-6140 (Print)
IS  - 1537-744X (Linking)
VI  - 2013
DP  - 2013
TI  - Resource efficient hardware architecture for fast computation of running max/min 
      filters.
PG  - 108103
LID - 10.1155/2013/108103 [doi]
LID - 108103
AB  - Running max/min filters on rectangular kernels are widely used in many digital 
      signal and image processing applications. Filtering with a k x k kernel requires 
      of k(2) - 1 comparisons per sample for a direct implementation; thus, performance 
      scales expensively with the kernel size k. Faster computations can be achieved by 
      kernel decomposition and using constant time one-dimensional algorithms on custom 
      hardware. This paper presents a hardware architecture for real-time computation 
      of running max/min filters based on the van Herk/Gil-Werman (HGW) algorithm. The 
      proposed architecture design uses less computation and memory resources than 
      previously reported architectures when targeted to Field Programmable Gate Array 
      (FPGA) devices. Implementation results show that the architecture is able to 
      compute max/min filters, on 1024 x 1024 images with up to 255 x 255 kernels, in 
      around 8.4 milliseconds, 120 frames per second, at a clock frequency of 250 MHz. 
      The implementation is highly scalable for the kernel size with good 
      performance/area tradeoff suitable for embedded applications. The applicability 
      of the architecture is shown for local adaptive image thresholding.
FAU - Torres-Huitzil, Cesar
AU  - Torres-Huitzil C
AD  - Information Technology Laboratory, CINVESTAV, Km. 5.5 Carretera Ciudad 
      Victoria-Soto La Marina, 87130 Ciudad Victoria, TAMPS, Mexico.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20131030
PL  - United States
TA  - ScientificWorldJournal
JT  - TheScientificWorldJournal
JID - 101131163
SB  - IM
MH  - *Computers
MH  - *Software
PMC - PMC3833061
EDAT- 2013/11/30 06:00
MHDA- 2014/07/18 06:00
PMCR- 2013/10/30
CRDT- 2013/11/30 06:00
PHST- 2013/08/24 00:00 [received]
PHST- 2013/09/17 00:00 [accepted]
PHST- 2013/11/30 06:00 [entrez]
PHST- 2013/11/30 06:00 [pubmed]
PHST- 2014/07/18 06:00 [medline]
PHST- 2013/10/30 00:00 [pmc-release]
AID - 10.1155/2013/108103 [doi]
PST - epublish
SO  - ScientificWorldJournal. 2013 Oct 30;2013:108103. doi: 10.1155/2013/108103. 
      eCollection 2013.