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A Bottle Neck Defect Detection Method Based on Residual Analysis and Dynamic Threshold Segmentation

A dynamic threshold and defect detection technology, applied in the field of image processing, can solve the problem of low detection accuracy of bottleneck defects

Active Publication Date: 2018-03-30
HUNAN UNIV
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Problems solved by technology

[0005] The present invention aims at the problem of low detection accuracy of bottle mouth defects in the above prior art, and proposes a bottle mouth defect detection method based on residual analysis and dynamic threshold segmentation

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  • A Bottle Neck Defect Detection Method Based on Residual Analysis and Dynamic Threshold Segmentation
  • A Bottle Neck Defect Detection Method Based on Residual Analysis and Dynamic Threshold Segmentation
  • A Bottle Neck Defect Detection Method Based on Residual Analysis and Dynamic Threshold Segmentation

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Embodiment Construction

[0078] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0079] A bottleneck detection method based on residual analysis and dynamic threshold segmentation, the detailed steps are as follows figure 1 As shown in Fig. 1, it mainly includes two processing flows: positioning of the bottle mouth area and detection of bottle mouth defects.

[0080] 1 bottle mouth area positioning

[0081] Firstly, through the global threshold segmentation, center of gravity method, radial scanning, and circle fitting to achieve high-speed and accurate positioning of the bottle mouth, then divide the bottle mouth into three detection areas, and use the center of the bottle mouth as the polar coordinate origin to perform polar coordinate transformation and expansion.

[0082] 1.1 Global threshold segmentation to obtain the edge area of ​​the bottle mouth

[0083] Take the upper left corner of the image as the coordinate origin, a...

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Abstract

The invention discloses a method for detecting bottleneck defects based on residual analysis and dynamic threshold segmentation. Firstly, a random circle evaluation method is proposed to realize the positioning of the bottleneck region; Smoothing process, the bottle mouth target image before and after smoothing is differentiated to form a threshold surface that changes with the gray value of the original bottle mouth target image, and the surface is used for dynamic threshold segmentation of the bottle mouth target image; finally, the segmented two The value image is used for regional connectivity detection, and whether it is a defect is judged according to the height, width and area of ​​the connected region. This method has a strong adaptability to the gray value change and interference of the recognized target in the image, and has a fast execution speed, which effectively solves the problem of high-speed and high-precision detection of bottle mouth defects.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a bottleneck detection method for residual analysis and dynamic threshold segmentation. Background technique [0002] my country's annual demand for wine bottles is huge. According to industry data, the cumulative output of my country's beer industry in 2014 was as high as 49.2185 million kiloliters. Calculated according to the bottle capacity of 530ml per bottle of beer, it would require as much as 9.28651x10 10 However, more than 80% of the beer bottles use recycled old bottles, and there are a large number of bottles with damaged bottle mouths. The use of bottles with damaged bottle mouths may bring major safety hazards to the production line and consumers. For defect detection, it is a necessary process to eliminate bottles with unqualified bottle necks. At present, there are a large number of methods for bottle neck defect detection at home and abroad. [0003] In foreign coun...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
Inventor 王耀南周显恩吴成中陈铁健李康军易国冯明涛彭玉郑叶欣王海洲
Owner HUNAN UNIV