Zhou et al., 2019 - Google Patents
Automated visual inspection of glass bottle bottom with saliency detection and template matchingZhou et al., 2019
View PDF- Document ID
- 6236081794862861704
- Author
- Zhou X
- Wang Y
- Xiao C
- Zhu Q
- Lu X
- Zhang H
- Ge J
- Zhao H
- Publication year
- Publication venue
- IEEE Transactions on Instrumentation and Measurement
External Links
Snippet
Glass bottles are widely used as containers in the food and beverage industry, especially for beer and carbonated beverages. As the key part of a glass bottle, the bottle bottom and its quality are closely related to product safety. Therefore, the bottle bottom must be inspected …
- 238000001514 detection method 0 title abstract description 129
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30148—Semiconductor; IC; Wafer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/19—Recognition of objects for industrial automation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhou et al. | Automated visual inspection of glass bottle bottom with saliency detection and template matching | |
CN112508826B (en) | Printed matter defect detection method | |
Zhou et al. | A surface defect detection framework for glass bottle bottom using visual attention model and wavelet transform | |
CN109816644B (en) | An automatic detection system for bearing defects based on multi-angle light source images | |
CN108389179B (en) | Machine vision-based can cover surface defect detection method | |
CN105069790B (en) | A kind of gear open defect fast image detection method | |
CN107543828B (en) | Workpiece surface defect detection method and system | |
CN104990926B (en) | A kind of TR elements positioning of view-based access control model and defect inspection method | |
CN111986190A (en) | A method and device for detecting defects in printed matter based on artifact removal | |
CN115018844B (en) | Plastic film quality evaluation method based on artificial intelligence | |
CN107590498A (en) | A kind of self-adapted car instrument detecting method based on Character segmentation level di- grader | |
CN109900711A (en) | Workpiece defect detection method based on machine vision | |
CN114140679A (en) | Defect fusion method, device, recognition system and storage medium | |
CN105973148A (en) | Pen point appearance size standardization detection system based on machine vision | |
CN104568986A (en) | Method for automatically detecting printing defects of remote controller panel based on SURF (Speed-Up Robust Feature) algorithm | |
CN114972356B (en) | Plastic product surface defect detection and identification method and system | |
TWI765442B (en) | Method for defect level determination and computer readable storage medium thereof | |
CN104680509A (en) | Real-time circular printing image defect detecting method | |
CN115147363A (en) | Image defect detection and classification method and system based on deep learning algorithm | |
CN111487192A (en) | Machine vision surface defect detection device and method based on artificial intelligence | |
Rahman et al. | A review of vision based defect detection using image processing techniques for beverage manufacturing industry | |
Abdellah et al. | Defect detection and identification in textile fabric by SVM method | |
Xu et al. | A defect inspection for explosive cartridge using an improved visual attention and image-weighted eigenvalue | |
CN118501177B (en) | Appearance defect detection method and system for formed foil | |
Xie et al. | A rapid inspection method for encapsulating quality of PET bottles based on machine vision |