Magwood et al., 1994 - Google Patents
Computer-aided analysis of visually complex ichnofabrics in deep-sea sedimentsMagwood et al., 1994
- Document ID
- 3484933908217886755
- Author
- Magwood J
- Ekdale A
- Publication year
- Publication venue
- Palaios
External Links
Snippet
Ichnofabrics typically represent the overprinting of multiple episodes of bioturbation (and sometimes also bioerosion), which can be quite difficult to sort out. Deep-sea ichnofabrics demonstrate this problem most strongly, since rates of sedimentation are low and rates of …
- 238000004458 analytical method 0 title abstract description 20
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
- G06K9/36—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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06T2207/20048—Transform domain processing
-
- 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
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- 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
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
-
- 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
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Purkis et al. | Patterns of sedimentation in the contemporary Red Sea as an analog for ancient carbonates in rift settings | |
| Francus | An image-analysis technique to measure grain-size variation in thin sections of soft clastic sediments | |
| Bankhead | Analyzing fluorescence microscopy images with ImageJ | |
| Buscombe | Transferable wavelet method for grain‐size distribution from images of sediment surfaces and thin sections, and other natural granular patterns | |
| Meng et al. | Efficient image dehazing with boundary constraint and contextual regularization | |
| HORGAN | Mathematical morphology for analysing soil structure from images | |
| Magwood et al. | Computer-aided analysis of visually complex ichnofabrics in deep-sea sediments | |
| Ristau et al. | Adaptive filtering of random noise in 2-D geophysical data | |
| Gupta et al. | A noise robust edge detector for color images using hilbert transform | |
| Kawalec-Latała | Edge detection on images of pseudoimpedance section supported by context and adaptive transformation model images | |
| Marschallinger | A method for three-dimensional reconstruction of macroscopic features in geological materials | |
| Mizuno et al. | Validation of a high-resolution acoustic imaging sonar method by estimating the biomass of submerged plants in shallow water | |
| Dentith et al. | Enhancement of subtle features in aeromagnetic data | |
| Lacharité et al. | Using object‐based image analysis to determine seafloor fine‐scale features and complexity | |
| Moran | Image processing and soil micromorphology | |
| Hardy | The fractal character of photos of slabbed cores | |
| Zhang et al. | Application of image enhancement techniques to potential field data | |
| Mahalakshmi et al. | Automated crop inspection and pest control using image processing | |
| Loubersac et al. | Integrated study of Aitutaki's lagoon (Cook Islands) using SPOT satellite data and in situ measurements: bathymetric modelling | |
| Ladefoged et al. | GIS-based image enhancement of conductivity and magnetic susceptibility data from Ureturituri Pa and Fort Resolution, New Zealand | |
| Bons et al. | Image analysis of microstructures in natural and experimental samples | |
| Boss | Digital shaded relief image of a carbonate platform (northern Great Bahama Bank): scenery seen and unseen | |
| Chetverikov et al. | Textures and structural defects | |
| Huvenne et al. | Detailed mapping of shallow-water environments using image texture analysis on sidescan sonar and multibeam backscatter imagery | |
| Myint | Wavelet analysis and classification of urban environment using high-resolution multispectral image data |