The Experts below are selected from a list of 15225 Experts worldwide ranked by ideXlab platform

Amar S Basu - One of the best experts on this subject based on the ideXlab platform.

  • droplet morphometry and velocimetry dmv a Video Processing software for time resolved label free tracking of droplet parameters
    Lab on a Chip, 2013
    Co-Authors: Amar S Basu
    Abstract:

    Emerging assays in droplet microfluidics require the measurement of parameters such as drop size, velocity, trajectory, shape deformation, fluorescence intensity, and others. While micro particle image velocimetry (μPIV) and related techniques are suitable for measuring flow using tracer particles, no tool exists for tracking droplets at the granularity of a single entity. This paper presents droplet morphometry and velocimetry (DMV), a Digital Video Processing software for time-resolved droplet analysis. Droplets are identified through a series of image Processing steps which operate on transparent, translucent, fluorescent, or opaque droplets. The steps include background image generation, background subtraction, edge detection, small object removal, morphological close and fill, and shape discrimination. A frame correlation step then links droplets spanning multiple frames via a nearest neighbor search with user-defined matching criteria. Each step can be individually tuned for maximum compatibility. For each droplet found, DMV provides a time-history of 20 different parameters, including trajectory, velocity, area, dimensions, shape deformation, orientation, nearest neighbour spacing, and pixel statistics. The data can be reported via scatter plots, histograms, and tables at the granularity of individual droplets or by statistics accrued over the population. We present several case studies from industry and academic labs, including the measurement of 1) size distributions and flow perturbations in a drop generator, 2) size distributions and mixing rates in drop splitting/merging devices, 3) efficiency of single cell encapsulation devices, 4) position tracking in electrowetting operations, 5) chemical concentrations in a serial drop dilutor, 6) drop sorting efficiency of a tensiophoresis device, 7) plug length and orientation of nonspherical plugs in a serpentine channel, and 8) high throughput tracking of >250 drops in a reinjection system. Performance metrics show that highest accuracy and precision is obtained when the Video resolution is >300 pixels per drop. Analysis time increases proportionally with Video resolution. The current version of the software provides throughputs of 2–30 fps, suggesting the potential for real time analysis.

Bilge Gunsel - One of the best experts on this subject based on the ideXlab platform.

  • two dimensional mesh based visual object representation for interactive synthetic natural Digital Video
    Proceedings of the IEEE, 1998
    Co-Authors: A M Tekalp, P Van Beek, C Toklu, Bilge Gunsel
    Abstract:

    This paper first provides an overview of two-dimensional (2-D) and three-dimensional mesh models for Digital Video Processing. It then introduces 2-D mesh-based modeling of Video objects as a compact representation of motion and shape for interactive, synthetic/natural Video manipulation, compression, and indexing. The 2-D mesh representation and the mesh geometry and motion compression have been included in the visual tools of the upcoming MPEG-4 standard. Functionalities enabled by 2-D mesh-based visual-object representation include animation of still texture maps, transfiguration of Video overlays, Video morphing, and shape-and motion-based retrieval of Video objects.

Lakhmi C. Jain - One of the best experts on this subject based on the ideXlab platform.

  • Computer Vision in Control Systems-2 - Computer Vision in Control Systems-2
    Intelligent Systems Reference Library, 2015
    Co-Authors: Margarita N. Favorskaya, Lakhmi C. Jain
    Abstract:

    Volume 1 : This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: ·         Morphological Image Analysis for Computer Vision Applications. ·         Methods for Detecting of Structural Changes in Computer Vision Systems. ·         Hierarchical Adaptive KL-based Transform: Algorithms and Applications. ·         Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. ·         A Way of Energy Analysis for Image and Video Sequence Processing. ·         Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. ·         Scene Analysis Using Morphological Mathematics and Fuzzy Logic. ·         Digital Video Stabilization in Static and Dynamic Scenes. ·         Implementation of Hadamard Matrices for Image Processing. ·         A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of Digital Video Processing and computer vision technologies.Volume 2 : The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. ·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. ·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. ·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. ·         Adaptive Surveillance Algorithms Based on the Situation Analysis. ·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. ·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. ·         Efficient Denoising Algorithms for Intelligent Recognition Systems. ·         Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of Digital Video Processing and computer vision technologies

A M Tekalp - One of the best experts on this subject based on the ideXlab platform.

  • two dimensional mesh based visual object representation for interactive synthetic natural Digital Video
    Proceedings of the IEEE, 1998
    Co-Authors: A M Tekalp, P Van Beek, C Toklu, Bilge Gunsel
    Abstract:

    This paper first provides an overview of two-dimensional (2-D) and three-dimensional mesh models for Digital Video Processing. It then introduces 2-D mesh-based modeling of Video objects as a compact representation of motion and shape for interactive, synthetic/natural Video manipulation, compression, and indexing. The 2-D mesh representation and the mesh geometry and motion compression have been included in the visual tools of the upcoming MPEG-4 standard. Functionalities enabled by 2-D mesh-based visual-object representation include animation of still texture maps, transfiguration of Video overlays, Video morphing, and shape-and motion-based retrieval of Video objects.

Margarita N. Favorskaya - One of the best experts on this subject based on the ideXlab platform.

  • Computer Vision in Control Systems-2 - Computer Vision in Control Systems-2
    Intelligent Systems Reference Library, 2015
    Co-Authors: Margarita N. Favorskaya, Lakhmi C. Jain
    Abstract:

    Volume 1 : This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: ·         Morphological Image Analysis for Computer Vision Applications. ·         Methods for Detecting of Structural Changes in Computer Vision Systems. ·         Hierarchical Adaptive KL-based Transform: Algorithms and Applications. ·         Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. ·         A Way of Energy Analysis for Image and Video Sequence Processing. ·         Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. ·         Scene Analysis Using Morphological Mathematics and Fuzzy Logic. ·         Digital Video Stabilization in Static and Dynamic Scenes. ·         Implementation of Hadamard Matrices for Image Processing. ·         A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of Digital Video Processing and computer vision technologies.Volume 2 : The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: ·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. ·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. ·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. ·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. ·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. ·         Adaptive Surveillance Algorithms Based on the Situation Analysis. ·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. ·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. ·         Efficient Denoising Algorithms for Intelligent Recognition Systems. ·         Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of Digital Video Processing and computer vision technologies