Cho et al., 1990 - Google Patents
A computer vision system for automated grading of rough hardwood lumber using a knowledge-based approachCho et al., 1990
View PDF- Document ID
- 3004373439885039446
- Author
- Cho T
- Conners R
- Araman P
- Publication year
- Publication venue
- 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings
External Links
Snippet
A computer vision system that locates and identifies grading defects in rough hardwood lumber in a species-independent manner is described in detail. It consists of a low-level module that performs segmentation and extracts region properties, and a high-level module …
- 239000011121 hardwood 0 title abstract description 15
Classifications
-
- 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
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
-
- 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
-
- 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
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- 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
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- 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
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3379491B1 (en) | Surface defect detection | |
US6483938B1 (en) | System and method for classifying an anomaly | |
US6535776B1 (en) | Method for localizing and isolating an errant process step | |
US6292582B1 (en) | Method and system for identifying defects in a semiconductor | |
US6205239B1 (en) | System and method for circuit repair | |
Fan et al. | A novel automatic dam crack detection algorithm based on local-global clustering | |
Valliammal et al. | Plant leaf segmentation using non linear K means clustering | |
Cho et al. | A computer vision system for automated grading of rough hardwood lumber using a knowledge-based approach | |
JP2001509618A (en) | Maskless semiconductor and liquid crystal display inspection method and apparatus | |
Matas et al. | Spatial and feature space clustering: Applications in image analysis | |
Kline et al. | Automated hardwood lumber grading utilizing a multiple sensor machine vision technology | |
Prasitmeeboon et al. | Defect detection of particleboards by visual analysis and machine learning | |
Gan et al. | Automated leather defect inspection using statistical approach on image intensity | |
CN118279304B (en) | Abnormal recognition method, device and medium for special-shaped metal piece based on image processing | |
Cho et al. | A computer vision system for analyzing images of rough hardwood lumber | |
Hittawe et al. | Machine vision for timber grading singularities detection and applications | |
Cho et al. | A comparison of rule-based, k-nearest neighbor, and neural net classifiers for automated industrial inspection | |
Ivanova et al. | Artificial Intelligence in Automated System for Web-Interfaces Visual Testing. | |
CN113822836B (en) | Method for marking an image | |
Bengtsson et al. | Segmentation of cervical cells: Detection of overlapping cell nuclei | |
Conners et al. | Computer vision system for locating and identifying defects in hardwood lumber | |
Rahiddin et al. | Local texture representation for timber defect recognition based on variation of LBP | |
Ren et al. | Automatic microstructure defect detection of Ti-6Al-4V titanium alloy by regions-based graph | |
Niskanen et al. | Experiments with SOM based inspection of wood | |
Raiser et al. | Impact of object extraction methods on classification performance in surface inspection systems |