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Computer Vision, Graphics, and Image Processing

Overview of attention for book
Cover of 'Computer Vision, Graphics, and Image Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Novel Intelligent Multiple Watermarking Schemes for the Protection of the Information Content of a Document Image
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    Chapter 2 Experimental Evaluation of 3D Kinect Face Database
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    Chapter 3 Photometric Normalization Techniques for Extended Multi-spectral Face Recognition: A Comparative Analysis
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    Chapter 4 Dictionary Based Approach for Facial Expression Recognition from Static Images
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    Chapter 5 Vision Based Pose Estimation of Multiple Peg-in-Hole for Robotic Assembly
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    Chapter 6 A Spatio Temporal Texture Saliency Approach for Object Detection in Videos
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    Chapter 7 Simultaneous Reconstruction of Multiple Hand Shredded Content-Less Pages Using Graph-Based Global Reassembly
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    Chapter 8 Super Resolution Mapping of Trees for Urban Forest Monitoring in Madurai City Using Remote Sensing
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    Chapter 9 Scale-Invariant Image Inpainting Using Gradient-Based Image Composition
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    Chapter 10 Recursive Structure from Motion
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    Chapter 11 A Hybrid Deep Architecture for Face Recognition in Real-Life Scenario
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    Chapter 12 Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets
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    Chapter 13 A Text Recognition Augmented Deep Learning Approach for Logo Identification
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    Chapter 14 High Frame Rate Real-Time Scene Change Detection System
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    Chapter 15 Painting Classification Using a Pre-trained Convolutional Neural Network
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    Chapter 16 Eigen Domain Transformation for Soft-Margin Multiple Feature-Kernel Learning for Surveillance Face Recognition
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    Chapter 17 A Beta Distribution Based Novel Scheme for Detection of Changes in Crowd Motion
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    Chapter 18 Reconstruction of Sparse-View Tomography via Banded Matrices
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    Chapter 19 SPODS: A Dataset of Color-Official Documents and Detection of Logo, Stamp, and Signature
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    Chapter 20 Text and Non-text Separation in Scanned Color-Official Documents
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    Chapter 21 Multi-font Telugu Text Recognition Using Hidden Markov Models and Akshara Bi-grams
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    Chapter 22 Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images
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    Chapter 23 Writer Identification for Handwritten Words
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    Chapter 24 Kalanjiyam : Unconstrained Offline Tamil Handwritten Database
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    Chapter 25 Info-Graphics Retrieval: A Multi-kernel Distance Based Hashing Scheme
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    Chapter 26 Neovascularization Detection on Retinal Images
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    Chapter 27 Distribution Based EEG Baseline Classification
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    Chapter 28 Texture Based Person Identification Using Dental Radiographs and Photographs in Forensic Odontology
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    Chapter 29 Shearlet Based Medical Image Fusion Using Pulse-Coupled Neural Network with Fuzzy Memberships
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    Chapter 30 MR Imaging via Reduced Generalized Autocalibrating Partially Parallel Acquisition Compressed Sensing
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    Chapter 31 Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames
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    Chapter 32 Cardiac Ultrasound Image Enhancement Using Tissue Selective Total Variation Regularization
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    Chapter 33 Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images
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    Chapter 34 Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
Attention for Chapter 34: Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
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Chapter title
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
Chapter number 34
Book title
Computer Vision, Graphics, and Image Processing
Published in
arXiv, December 2016
DOI 10.1007/978-3-319-68124-5_34
Book ISBNs
978-3-31-968123-8, 978-3-31-968124-5
Authors

Debarghya China, Pabitra Mitra, Debdoot Sheet

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Engineering 1 25%
Design 1 25%
Unknown 2 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2019.
All research outputs
#11,242,284
of 14,179,640 outputs
Outputs from arXiv
#336,859
of 548,667 outputs
Outputs of similar age
#207,743
of 276,494 outputs
Outputs of similar age from arXiv
#19,273
of 24,091 outputs
Altmetric has tracked 14,179,640 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 548,667 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,091 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.