PMID- 31373307
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200225
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 19
IP  - 14
DP  - 2019 Jul 11
TI  - An Efficient Hardware-Oriented Single-Pass Approach for Connected Component 
      Analysis.
LID - 10.3390/s19143055 [doi]
LID - 3055
AB  - Connected Component Analysis (CCA) plays an important role in several image 
      analysis and pattern recognition algorithms. Being one of the most time-consuming 
      tasks in such applications, specific hardware accelerator for the CCA are highly 
      desirable. As its main characteristic, the design of such an accelerator must be 
      able to complete a run-time process of the input image frame without suspending 
      the input streaming data-flow, by using a reasonable amount of hardware 
      resources. This paper presents a new approach that allows virtually any feature 
      of interest to be extracted in a single-pass from the input image frames. The 
      proposed method has been validated by a proper system hardware implemented in a 
      complete heterogeneous design, within a Xilinx Zynq-7000 Field Programmable Gate 
      Array (FPGA) System on Chip (SoC) device. For processing 640 x 480 input image 
      resolution, only 760 LUTs and 787 FFs were required. Moreover, a frame-rate of 
      ~325 fps and a throughput of 95.37 Mp/s were achieved. When compared to several 
      recent competitors, the proposed design exhibits the most favorable 
      performance-resources trade-off.
FAU - Spagnolo, Fanny
AU  - Spagnolo F
AD  - Department of Informatics, Modeling, Electronics and System Engineering, 
      University of Calabria, 87036 Rende, Italy.
FAU - Perri, Stefania
AU  - Perri S
AUID- ORCID: 0000-0003-1363-9201
AD  - Department of Mechanical, Energy and Management Engineering, University of 
      Calabria, 87036 Rende, Italy.
FAU - Corsonello, Pasquale
AU  - Corsonello P
AUID- ORCID: 0000-0002-9528-1110
AD  - Department of Informatics, Modeling, Electronics and System Engineering, 
      University of Calabria, 87036 Rende, Italy. p.corsonello@unical.it.
LA  - eng
PT  - Journal Article
DEP - 20190711
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC6678661
OTO - NOTNLM
OT  - FPGAs
OT  - connected component analysis
OT  - embedded systems
OT  - features extraction
COIS- The authors declare no conflict of interest.
EDAT- 2019/08/03 06:00
MHDA- 2019/08/03 06:01
PMCR- 2019/07/01
CRDT- 2019/08/03 06:00
PHST- 2019/06/03 00:00 [received]
PHST- 2019/07/04 00:00 [revised]
PHST- 2019/07/09 00:00 [accepted]
PHST- 2019/08/03 06:00 [entrez]
PHST- 2019/08/03 06:00 [pubmed]
PHST- 2019/08/03 06:01 [medline]
PHST- 2019/07/01 00:00 [pmc-release]
AID - s19143055 [pii]
AID - sensors-19-03055 [pii]
AID - 10.3390/s19143055 [doi]
PST - epublish
SO  - Sensors (Basel). 2019 Jul 11;19(14):3055. doi: 10.3390/s19143055.