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

Yang et al., 2018 - Google Patents

Improved single-illumination estimation accuracy via redefining the illuminant-invariant descriptor and the grey pixels

Yang et al., 2018

View HTML @Full View
Document ID
18434618416617956661
Author
Yang X
Jin X
Zhang J
Publication year
Publication venue
Optics Express

External Links

Snippet

A grey pixel detection method, based on the illuminant-invariant descriptor in three logarithmic color channels, was proposed and proved effective for illuminant estimation [25]. In this work, an incremental improvement measure, based on Yang's work, is proposed by …
Continue reading at opg.optica.org (HTML) (other versions)

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
    • G06K9/4652—Extraction of features or characteristics of the image related to colour
    • 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
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • G06K9/62—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
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • 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
Cheng et al. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution
US11615559B2 (en) Methods and systems for human imperceptible computerized color transfer
Marchant et al. Shadow-invariant classification for scenes illuminated by daylight
Khan et al. Illuminant estimation in multispectral imaging
Finlayson et al. Color constancy at a pixel
Gao et al. Improving color constancy by discounting the variation of camera spectral sensitivity
Gijsenij et al. Perceptual analysis of distance measures for color constancy algorithms
Marcos et al. Classification of coral reef images from underwater video using neural networks
Wesolkowski Color image edge detection and segmentation: A comparison of the vector angle and the euclidean distance color similarity measures
Shi et al. Illumination estimation via thin-plate spline interpolation
Gao et al. Improving color constancy by selecting suitable set of training images
Ganesan et al. Value based semi automatic segmentation of satellite images using HSV color space, histogram equalization and modified FCM clustering algorithm
Zhou et al. Underwater image enhancement via two-level wavelet decomposition maximum brightness color restoration and edge refinement histogram stretching
Prasad et al. Metrics and statistics of frequency of occurrence of metamerism in consumer cameras for natural scenes
Lecca et al. GREAT: a gradient-based color-sampling scheme for Retinex
Lee et al. A taxonomy of color constancy and invariance algorithm
Baslamisli et al. Invariant descriptors for intrinsic reflectance optimization
Mazin et al. Estimation of illuminants from projections on the planckian locus
Yang et al. Improved single-illumination estimation accuracy via redefining the illuminant-invariant descriptor and the grey pixels
Gu et al. Segmentation and estimation of spatially varying illumination
Liang et al. Optimal selection of representative samples for efficient digital camera‐based spectra recovery
Huang et al. Multi-cue semi-supervised color constancy with limited training samples
Su et al. Illumination separation of non-Lambertian scenes from a single hyperspectral image
Li et al. Color constancy using achromatic surface
Vršnak et al. Autoencoder-based training for multi-illuminant color constancy