Index for hanb

Hanbay, D.[Davut] * 2015: Continuous rotation invariant features for gradient-based texture classification

Hanbay, K.[Kazim] * 2015: Continuous rotation invariant features for gradient-based texture classification
* 2020: Multi-Scale Shape Index-Based Local Binary Patterns for Texture Classification

Hanberry, B.B.[Brice B.] * 2020: Classifying Large Wildfires in the United States by Land Cover

Hanbury, A. * 2002: Finding defects in texture using regularity and local orientation
* 2004: Redundancy Pyramid and Its Application to Segmentation on an Image Sequence, The
* 2005: Steerable Semi-automatic Segmentation of Textured Images
* 2005: Supervised Texture Detection in Images
* 2006: Automatic Image Segmentation by Positioning a Seed
* 2006: Color Pair Clustering for Texture Detection
* 2006: Motion Detection Using an Improved Colour Model
* 2006: Template patch driven image segmentation
* 2006: Waterfall Segmentation of Complex Scenes
* 2007: Colour Adjacency Histograms for Image Matching
* 2007: Do Colour Interest Points Improve Image Retrieval?
* 2007: Improved motion segmentation based on shadow detection
* 2007: Local Structure Detection with Orientation-invariant Radial Configuration
* 2007: Radial Edge Configuration for Semi-local Image Structure Description
* 2008: Evaluation of Gradient Vector Flow for Interest Point Detection
* 2008: How Do Superpixels Affect Image Segmentation?
* 2008: On segmentation evaluation metrics and region counts
* 2009: Invariant Shape Matching for Detection of Semi-local Image Structures
* 2009: Lonely but attractive: Sparse color salient points for object retrieval and categorization
* 2009: Morphological segmentation on learned boundaries
* 2009: Skin Paths for Contextual Flagging Adult Videos
* 2010: FeEval A Dataset for Evaluation of Spatio-temporal Local Features
* 2010: Skin detection: A random forest approach
* 2010: Special issue on image and video retrieval evaluation
* 2010: Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges
* 2010: Universal Seed Skin Segmentation
* 2012: Color based skin classification
* 2012: Robust camera self-calibration from monocular images of Manhattan worlds
* 2012: Robust Color Texture Features Under Varying Illumination Conditions
* 2012: Sparse Color Interest Points for Image Retrieval and Object Categorization
* 2013: Image search in patents: a review
* 2014: formal method for selecting evaluation metrics for image segmentation, A
* 2015: Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations
* 2015: DASyR(IR): document analysis system for systematic reviews (in Information Retrieval)
* 2015: Efficient Algorithm for Calculating the Exact Hausdorff Distance, An
* 2016: Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks
* 2016: Machine learning framework incorporating expert knowledge in tissue image annotation
* 2021: Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation
Includes: Hanbury, A. Hanbury, A.[Allan]
38 for Hanbury, A.

Hanbury, A.G.[Allan G.] * 2001: Mathematical Morphology in the HLS Colour Space
* 2001: Morphological operators on the unit circle
* 2003: 3D-Polar Coordinate Colour Representation Well Adapted to Image Analysis, A
* 2003: Colour Image Analysis in 3D-Polar Coordinates
* 2003: Painting crack elimination using viscous morphological reconstruction
* 2004: morphological top-hat operator generalised to multi-channel images, The
* 2007: Morphological Distinguished Regions
* 2008: Constructing cylindrical coordinate colour spaces
* 2011: Morphology Based Spatial Relationships between Local Primitives in Line Drawings
Includes: Hanbury, A.G.[Allan G.] Hanbury, A.G.
9 for Hanbury, A.G.

Index for "h"


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