Welding line automatic recognition visible sensation method based on partial image texture characteristic matched
Title:
Welding line automatic recognition visible sensation method based on partial image texture characteristic matched
Application Number:
200710178137
Application Date:
2007/11/27
Announcement Date:
2008/04/09
Pub. Date:
Publication Number:
101159017
Announcement Number:
Grant Date:
Granted Pub. Date:
ApplicationType:
Invention
State/Country:
11[China|beijing]
IPC:
G06K 9/00, G06K 9/64, G06T 7/00
Applicant(s):
Tsinghua University
Inventor(s):
Wang Shenghua, Dou Dong, Wang Li, Zeng Kai, Zou Yirong
Key Words:
Welding line, automatic recognition, visible sensation method, partial image, texture characteristic
Abstract:
The invention discloses a weld seam automatic recognition visual method based on the match of texture feature of regional images, applied to weld seam detection and tracking and pertaining to the advanced manufacture and automation field. In the invention, firstly using a camera to shoot and obtain a weld seam region image which is taken to include the two edge regions of the weld seam; then, extracting a left template image and a right template image including the left and the right edges of the weld seam respectively in the weld seam image of the initial position of the weld seam, and automatically giving a left-and-right edge region image which includes the two weld seam edges and is wider than the template image in the image of the subsequent weld seam according to the known edge position of the weld seam; thereafter, executing the identical texture feature analysis simultaneously on the template image and the edge region image, and extracting the texture feature; correlatively matching the texture feature matrix of the edge regions with the texture feature template, and determining the edge position of the weld seam. The invention realizes weld seam recognition, in particular to the weld seam recognition of filling weld and cosmetic weld in multi-layer weld, and compared with the structural optical method and the normal passive optical visual method, the invention has obvious advantages and strong adaptability.
Claim:
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PCT:
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