Defect hole image recognition method
A technology of image recognition and defects, applied in the field of defect hole image recognition, can solve problems such as cumbersome operations, and achieve the effects of improving accuracy, scientific methods, and simple and reliable equipment
Inactive Publication Date: 2011-11-09
郭震
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The existing defect detection methods such as pinholes on the welding surface and pores on the casting surface mainly rely on the recognition of the human eye. For the internal pore defects that cannot be recognized by the human eye, there are mainly magnetic particle testing, penetrant testing, ultrasonic testing and eddy current testing. detection and other methods, these methods are very cumbersome to operate
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0018] A defect hole image recognition method, the system adopted includes a three-dimensional laser scanner 1, an alarm 2, a control board 3, a display 4 and an industrial control computer 5, the three-dimensional laser scanner 1 is connected with the industrial control computer 5, and the three-dimensional laser The scanner 1 accepts the instruction of the industrial control computer 5 to collect the three-dimensional digital image information of the detected object, and transmits the obtained image information to the industrial control computer 5. The alarm 2 is connected with the industrial control computer 5 through the control board 3. When the system When it is detected that the defect hole exists, the relay on the control board 3 is energized, the alarm 2 is connected, the alarm 2 sends an alarm, the display 4 is connected with the industrial control computer 5, and receives signals from the industrial control computer 5 for Display relevant data and image information o...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a defect hole image recognition method which comprises the following steps: firstly, a defect hole is preliminarily judged by adopting a grayscale image processing technology according to the grey value characteristic of a defect hole image, and local coordinate of the possible defect hole is found out; and then the existence of the defect hole is further determined by applying a three-dimensional digital image technology according to the data characteristic of the defect hole in a three-dimensional image, and parameters such as the position, size, depth and the like of the defect hole are calculated. Compared with the prior art, the defect hole image recognition method has the following advantages: the accuracy of defect hole monitoring is higher; on the basis ofa defect hole monitoring method for two-dimensional image information, information in the three-dimensional digital image is utilized for judgment and recognition, thus greatly improving the accuracyof the judgment and recognition; simultaneously, the two-dimensional and three-dimensional digital image technologies are adopted for realizing the online detection of the defect hole, with scientific, reasonable and accurate methods; real-time display and monitoring of data and signals of defect hole detection are realized; and applied devices are simple and reliable, and have cost advantage.
Description
technical field [0001] The invention relates to a defect hole image recognition method. Background technique [0002] During the processing of parts, such as welding, casting, injection molding, etc., the surface pores that affect the processing quality of parts are called defect holes. The existing defect detection methods such as pinholes on the welding surface and pores on the casting surface mainly rely on the recognition of the human eye. For the internal pore defects that cannot be recognized by the human eye, there are mainly magnetic particle testing, penetrant testing, ultrasonic testing and eddy current testing. Methods such as detection, these methods are very cumbersome to operate. Contents of the invention [0003] The object of the present invention is to provide a defect hole image recognition method capable of on-line detection, high accuracy and low cost. [0004] The defect hole image recognition method of the present invention first adopts the grayscal...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88G01B11/00G01B11/22G06K9/00
Inventor 郭震郭厚焜
Owner 郭震