The Study of Counting the Strapping Steel Pipes Based on Image Recognition
2012 ◽
Vol 490-495
◽
pp. 3831-3835
Keyword(s):
The accurate count has been realized and the expected results have been acquired by the image of the end of steel pipes recognized, which has a good market prospect and economic profit. The mathematical morphology was used to preprocess image and inspect the edge of the target. An improved Hough Transformation was applied to recognize inner diameter of steel pipes, which improved the detection rate. The Hu invariant moments described in the area was used to recognize inner diameter of steel pipes, which realized the pipe sum accurately. The method to count points was used to realize the sum of pipes according to the condition that the inner diameter circus of binary pipe image was corroded more times came to change into small area.
2021 ◽
Vol 18
(3)
◽
pp. 421-427
Keyword(s):
2014 ◽
Vol 62
(3)
◽
pp. 241-247
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Keyword(s):
1993 ◽
Vol 15
(4)
◽
pp. 380-387
◽
2014 ◽
Vol 610
◽
pp. 429-436
2014 ◽
Vol 596
◽
pp. 355-360
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Keyword(s):
2017 ◽
Vol 05
(01)
◽
pp. 1-10
◽
2012 ◽
Vol 60
(2)
◽
pp. 115-124
◽
Keyword(s):
Keyword(s):