Lindblad et al., 2015 - Google Patents
Exact linear time euclidean distance transforms of grid line sampled shapesLindblad et al., 2015
- Document ID
- 7843783133433400703
- Author
- Lindblad J
- Sladoje N
- Publication year
- Publication venue
- International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing
External Links
Snippet
We propose a method for computing, in linear time, the exact Euclidean distance transform of sets of points st one coordinate of a point can be assigned any real value, whereas other coordinates are restricted to discrete sets of values. The proposed distance transform is …
- 238000005070 sampling 0 title abstract description 63
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
- 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
- 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
- G06T7/00—Image analysis
-
- 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
- G06K9/20—Image acquisition
- G06K9/34—Segmentation of touching or overlapping patterns in the image field
- G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yoon et al. | Adaptive support-weight approach for correspondence search | |
| Culjak et al. | A brief introduction to OpenCV | |
| CN109785283B (en) | Texture feature matching method and device for fabric segmentation | |
| JP2016049454A (en) | Transformation of 3D objects to divide objects in 3D medical images | |
| Bischoff et al. | Isosurface reconstruction with topology control | |
| CN109345536B (en) | Image super-pixel segmentation method and device | |
| Lindblad et al. | Exact linear time euclidean distance transforms of grid line sampled shapes | |
| Liu et al. | Dense stereo correspondence with contrast context histogram, segmentation-based two-pass aggregation and occlusion handling | |
| Mukherjee et al. | A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision | |
| Chochia | Image segmentation based on the analysis of distances in an attribute space | |
| US7809165B2 (en) | Method for generating distance maps using scan lines | |
| Megyesi et al. | Affine propagation for surface reconstruction in wide baseline stereo | |
| Omidalizarandi et al. | Segmentation and classification of point clouds from dense aerial image matching | |
| McKinnon et al. | A semi-local method for iterative depth-map refinement | |
| Novacheva | Building roof reconstruction from LiDAR data and aerial images through plane extraction and colour edge detection | |
| Zhang et al. | Local stereo disparity estimation with novel cost aggregation for sub-pixel accuracy improvement in automotive applications | |
| CN105957050B (en) | The method and device of segmented image | |
| Cooke | Two applications of graph-cuts to image processing | |
| JP4432495B2 (en) | Object shape estimation method, object shape estimation device, object shape estimation program, and storage medium storing object shape estimation program | |
| Wang et al. | Graph theoretic segmentation of airborne lidar data | |
| Latecki | Well-composed sets | |
| Porikli et al. | Fast distance transform computation using dual scan line propagation | |
| Yao et al. | Journal of visual communication and image representation | |
| Zhang et al. | Insights into local stereo matching: Evaluation of disparity refinement approaches | |
| Joga et al. | 3D reconstruction of regular objects from multiple 2D images using a reference object |