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    Reference Work Entry In depth

    NeatVision: Development Environment for Machine Vision Engineers

    This chapter will detail a free image analysis and software development environment for machine vision engineers. The environment provides high-level access to a wide range of image manipulation, processing an...

    Prof. Paul F. Whelan, Robert Sadleir, Ovidiu Ghita in Machine Vision Handbook (2012)

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    Article

    Evaluation of robustness against rotation of LBP, CCR and ILBP features in granite texture classification

    The aim of the paper is to conduct a performance evaluation where several texture descriptors such as Local Binary Patterns (LBP), Coordinated Clusters Representation (CCR) and (Improved Local Binary Patterns)...

    Antonio Fernández, Ovidiu Ghita, Elena González in Machine Vision and Applications (2011)

  3. Article

    Open Access

    Biologically-inspired data decorrelation for hyper-spectral imaging

    Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionalit...

    Artzai Picon, Ovidiu Ghita in EURASIP Journal on Advances in Signal Proc… (2011)

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    Chapter and Conference Paper

    A New Anticorrelation-Based Spectral Clustering Formulation

    This paper introduces the Spectral Clustering Equivalence (SCE) algorithm which is intended to be an alternative to spectral clustering (SC) with the objective to improve both speed and quality of segmentation...

    Julia Dietlmeier, Ovidiu Ghita in Advanced Concepts for Intelligent Vision S… (2011)

  5. Chapter and Conference Paper

    A Novel Visual Speech Representation and HMM Classification for Visual Speech Recognition

    This paper presents the development of a novel visual speech recognition (VSR) system based on a new representation that extends the standard viseme concept (that is referred in this paper to as Visual Speech ...

    Dahai Yu, Ovidiu Ghita, Alistair Sutherland in Advances in Image and Video Technology (2009)

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    Chapter and Conference Paper

    Multi-resolution Texture Classification Based on Local Image Orientation

    The aim of this paper is to evaluate quantitatively the discriminative power of the image orientation in the texture classification process. In this regard, we have evaluated the performance of two texture cla...

    Ovidiu Ghita, Paul F. Whelan, Dana E. Ilea in Image Analysis and Recognition (2008)

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    Article

    Pose estimation for objects with planar surfaces using eigenimage and range data analysis

    In this paper we present a novel method for estimating the object pose for 3D objects with well-defined planar surfaces. Specifically, we investigate the feasibility of estimating the object pose using an appr...

    Ovidiu Ghita, Paul F. Whelan, David Vernon, John Mallon in Machine Vision and Applications (2007)

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    Chapter and Conference Paper

    A New Manifold Representation for Visual Speech Recognition

    In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using Principal Component Analysis (...

    Dahai Yu, Ovidiu Ghita, Alistair Sutherland in Computer Analysis of Images and Patterns (2007)

  9. Chapter and Conference Paper

    Shape Filtering for False Positive Reduction at Computed Tomography Colonography

    In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomography Colonography (CAD-CTC) as a shape-fil...

    Abhilash A. Miranda, Tarik A. Chowdhury in Medical Image Computing and Computer-Assis… (2006)

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    Article

    A bin picking system based on depth from defocus

    It is generally accepted that to develop versatile bin-picking systems capable of gras** and manipulation operations, accurate 3-D information is required. To accomplish this goal, we have developed a fast ...

    Ovidiu Ghita, Paul F. Whelan in Machine Vision and Applications (2003)

  11. Chapter and Conference Paper

    Experimentation on the Use of Chromaticity Features, Local Binary Pattern, and Discrete Cosine Transform in Colour Texture Analysis

    This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity fea...

    Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan in Image Analysis (2003)