Feineigle et al., 1996 - Google Patents
Processing of 3D DIC microscopy images for data visualizationFeineigle et al., 1996
- Document ID
- 5092636884102489593
- Author
- Feineigle P
- Witkin A
- Stonick V
- Publication year
- Publication venue
- 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings
External Links
Snippet
Differential interference contrast (DIC) microscopy is a popular method for studying the three dimensional structure of living cells. Currently, no volume rendering tools exist which support visualisation of 3D DIC data. The authors develop a transformation method which …
- 238000001152 differential interference contrast microscopy 0 title description 3
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
- G06T2207/30004—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
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- 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
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color 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
- G06T5/001—Image restoration
- G06T5/003—Deblurring; Sharpening
-
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- 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
- 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
- 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
- G06T15/00—3D [Three Dimensional] image rendering
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106339998B (en) | Multi-focus image fusion method based on contrast pyramid transformation | |
| Li et al. | Robust retinal image enhancement via dual-tree complex wavelet transform and morphology-based method | |
| EP0927405B1 (en) | Image processing electronic device for detecting dimensional variations | |
| EP3688725B1 (en) | Method and device for creating a 3d reconstruction of an object | |
| Kanwal et al. | Region based adaptive contrast enhancement of medical X-ray images | |
| JPH07299053A (en) | Computer diagnosis support method | |
| Tamada et al. | Revealing chiral cell motility by 3D Riesz transform-differential interference contrast microscopy and computational kinematic analysis | |
| Broser et al. | Nonlinear anisotropic diffusion filtering of three-dimensional image data from two-photon microscopy | |
| EP2405816B1 (en) | Pattern noise correction for pseudo projections | |
| Pinoli et al. | Logarithmic adaptive neighborhood image processing (LANIP): Introduction, connections to human brightness perception, and application issues | |
| Vertan et al. | A pseudo-logarithmic image processing framework for edge detection | |
| Feineigle et al. | Processing of 3D DIC microscopy images for data visualization | |
| Li et al. | MCDFD: multifocus image fusion based on multiscale cross-difference and focus detection | |
| Li et al. | Oct image blind despeckling based on gradient guided filter with speckle statistical prior | |
| CN103778615A (en) | Multi-focus image fusion method based on region similarity | |
| CN111815692A (en) | Method, system and storage medium for generating artifact-free data and artifact-containing data | |
| Mehr et al. | Deep Learning-Based Ultrasound Image Despeckling by Noise Model Estimation. | |
| Paulik et al. | Bilateral Filtering and Hybrid Homomorphic Normalization for Lane-Image Pre-processing | |
| Wang et al. | Selective extraction of entangled textures via adaptive PDE transform | |
| Ghatwary et al. | Liver CT enhancement using fractional differentiation and integration | |
| Urban et al. | Automatic reconstruction of dendrite morphology from optical section stacks | |
| Siadat et al. | Joint image deconvolution and separation using mixed dictionaries | |
| Hanlon et al. | Improving dermal level images from reflectance confocal microscopy using wavelet‐based transformations and adaptive histogram equalization | |
| Mahmoud et al. | Novel feature extraction methodology based on histopathalogical images and subsequent classification by Support Vector Machine | |
| Samarabandu et al. | Analysis of multidimensional confocal images |