Amhaz et al., 2016 - Google Patents
Automatic crack detection on two-dimensional pavement images: An algorithm based on minimal path selectionAmhaz et al., 2016
View PDF- Document ID
- 15984537773818303294
- Author
- Amhaz R
- Chambon S
- Idier J
- Baltazart V
- Publication year
- Publication venue
- IEEE Transactions on Intelligent Transportation Systems
External Links
Snippet
This paper proposes a new algorithm for automatic crack detection from 2D pavement images. It strongly relies on the localization of minimal paths within each image, a path being a series of neighboring pixels and its score being the sum of their intensities. The …
- 238000004422 calculation algorithm 0 title abstract description 38
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
- G06T2207/20—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
- G06K9/36—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
- G06T2207/30004—Biomedical image processing
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color 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
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- 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
- G06K9/62—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
- G06T7/20—Analysis of motion
-
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- 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 |
---|---|---|
Amhaz et al. | Automatic crack detection on two-dimensional pavement images: An algorithm based on minimal path selection | |
Akagic et al. | Pavement crack detection using Otsu thresholding for image segmentation | |
Zaitoun et al. | Survey on image segmentation techniques | |
Li et al. | Automatic pavement crack recognition based on BP neural network | |
Amhaz et al. | A new minimal path selection algorithm for automatic crack detection on pavement images | |
Saini et al. | A study analysis on the different image segmentation techniques | |
CN108665487B (en) | Transformer substation operation object and target positioning method based on infrared and visible light fusion | |
Muñoz et al. | Strategies for image segmentation combining region and boundary information | |
Cheng et al. | Automatic pavement distress detection system | |
Huo et al. | A robust and fast method for sidescan sonar image segmentation using nonlocal despeckling and active contour model | |
Angelina et al. | Image segmentation based on genetic algorithm for region growth and region merging | |
Sollazzo et al. | Hybrid procedure for automated detection of cracking with 3D pavement data | |
Mathavan et al. | Use of a self-organizing map for crack detection in highly textured pavement images | |
Sinha et al. | Computer vision techniques for automatic structural assessment of underground pipes | |
Zhao et al. | Anisotropic clustering on surfaces for crack extraction | |
Kim et al. | Building detection in high resolution remotely sensed images based on automatic histogram-based fuzzy c-means algorithm | |
Chatterjee et al. | A fast and accurate automated pavement crack detection algorithm | |
CN101908214A (en) | Moving object detection method with background reconstruction based on neighborhood correlation | |
Hao et al. | An improved neuron segmentation model for crack detection–image segmentation model | |
Mokhtari et al. | Statistical selection and interpretation of imagery features for computer vision-based pavement crack–detection systems | |
Upadhyay et al. | Fast segmentation methods for medical images | |
Lyasheva et al. | Application of image weight models to increase canny contour detector resilience to interference | |
Xie et al. | A four-stage product appearance defect detection method with small samples | |
CN106250828B (en) | A kind of people counting method based on improved LBP operator | |
Manjula | Image edge detection and segmentation by using histogram thresholding method |