2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) 2016
DOI: 10.1109/fskd.2016.7603476
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Research on the solder joint image segmentation based on the improved spatial fuzzy C means algorithm

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Cited by 2 publications
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“…21 to overcome the illumination variations and background disturbance. Li and Wan 15 proposed an improved solder joint segmentation method based on the spatial fuzzy C means algorithm. Although these methods can be e®ective at locating solder joints, but only if welding them one by one, they cannot meet the requirements of locating the solder joints of the entire image at the same time and still have a high precision.…”
Section: Related Workmentioning
confidence: 99%
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“…21 to overcome the illumination variations and background disturbance. Li and Wan 15 proposed an improved solder joint segmentation method based on the spatial fuzzy C means algorithm. Although these methods can be e®ective at locating solder joints, but only if welding them one by one, they cannot meet the requirements of locating the solder joints of the entire image at the same time and still have a high precision.…”
Section: Related Workmentioning
confidence: 99%
“…Although these methods can be e®ective at locating solder joints, but only if welding them one by one, they cannot meet the requirements of locating the solder joints of the entire image at the same time and still have a high precision. 2,[5][6][7]9,10,[15][16][17][19][20][21]24,[33][34][35][36][37][38][39][40] Combined with the characteristics of the small PCB size, the large number of solder joints, the small single spot area and the compressed welded, the traditional methods mentioned classify and locate the solder joints one by one so that they are not suitable for the extraction of various solder joints. 3,14,26,28,30,32 Compared with existing works on PCB solder joint extraction and inspection, the novelty and advantages from this paper are as follows:…”
Section: Related Workmentioning
confidence: 99%