[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Shamsudeen et al., 2019 - Google Patents

An objective function based technique for devignetting fundus imagery using MST

Shamsudeen et al., 2019

View HTML
Document ID
2392582431503727444
Author
Shamsudeen F
Raju G
Publication year
Publication venue
Informatics in Medicine Unlocked

External Links

Snippet

Fundus photography is a powerful imaging modality that is utilized for detecting macular degeneration, retinal neoplasms, choroid disturbances, glaucoma and diabetic retinopathy. As the illumination source in fundus imaging is situated at the center of the fundus camera …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • 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
    • G06T2207/30—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
    • G06T2207/10—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
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • 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
    • 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
    • G06T5/001—Image restoration
    • G06T5/003—Deblurring; Sharpening
    • 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
    • G06T2207/20212—Image combination
    • 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
    • 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
    • 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
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Figueiredo et al. Automated lesion detectors in retinal fundus images
Manjón et al. MRI denoising using non-local means
Niemeijer et al. Comparative study of retinal vessel segmentation methods on a new publicly available database
Abbasi-Sureshjani et al. Biologically-inspired supervised vasculature segmentation in SLO retinal fundus images
Siva Sundhara Raja et al. Automatic detection of blood vessels in retinal images for diabetic retinopathy diagnosis
Palanisamy et al. An improved luminosity and contrast enhancement framework for feature preservation in color fundus images
Abdel-Hamid et al. Retinal image quality assessment based on image clarity and content
Dash et al. An unsupervised approach for extraction of blood vessels from fundus images
Soomro et al. Role of image contrast enhancement technique for ophthalmologist as diagnostic tool for diabetic retinopathy
Subramani et al. Fuzzy contextual inference system for medical image enhancement
Palanisamy et al. A hybrid feature preservation technique based on luminosity and edge based contrast enhancement in color fundus images
Aksam Iftikhar et al. Robust brain MRI denoising and segmentation using enhanced non‐local means algorithm
Yang et al. Retinal image enhancement with artifact reduction and structure retention
Joseph et al. A modified unsharp masking with adaptive threshold and objectively defined amount based on saturation constraints
Satyanarayana et al. A quantitative analysis of histogram equalization-based methods on fundus images for diabetic retinopathy detection
Shamsudeen et al. An objective function based technique for devignetting fundus imagery using MST
CA3223906A1 (en) Classification and improvement of quality of vascular images
James et al. Devignetting fundus images via Bayesian estimation of illumination component and gamma correction
Román et al. Retinal image enhancement via a multiscale morphological approach with OCCO filter
Joshi et al. Review of preprocessing techniques for fundus image analysis
Jeba Derwin et al. An efficient multi-level pre-processing algorithm for the enhancement of dermoscopy images in Melanoma detection
Mazlan et al. Enhancement of retinal images for microaneurysms detection in diabetic retinopathy
Aruna Vinodhini et al. A robust and fast fundus image enhancement by dehazing
Soliman et al. Automatic localization and boundary detection of retina in images using basic image processing filters
Zhang et al. MUTE: A multilevel-stimulated denoising strategy for single cataractous retinal image dehazing