By Topic

IEEE Journal of Selected Topics in Signal Processing

Issue 7 • Nov. 2012

Filter Results

Displaying Results 1 - 20 of 20
  • Table of contents

    Publication Year: 2012, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (133 KB)
    Freely Available from IEEE
  • IEEE Journal of Selected Topics in Signal Processing publication information

    Publication Year: 2012, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (34 KB)
    Freely Available from IEEE
  • Introduction to the Issue on Filtering and Segmentation With Mathematical Morphology

    Publication Year: 2012, Page(s):737 - 738
    Request permission for commercial reuse | PDF file iconPDF (82 KB) | HTML iconHTML
    Freely Available from IEEE
  • Tutorial on Connective Morphology

    Publication Year: 2012, Page(s):739 - 752
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4846 KB) | HTML iconHTML

    Morphological operators may be taken up from the two entries of dilation and of connection. This tutorial focuses on the second entry, and leads to optimum partitionings of the images under study. Five notions, which derive from each other, are successively explored. The “set connection,” which generalizes the usual connectivities, opens the series, and yields the “connective ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Random Projection Depth for Multivariate Mathematical Morphology

    Publication Year: 2012, Page(s):753 - 763
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2907 KB) | HTML iconHTML

    The open problem of the generalization of mathematical morphology to vector images is handled in this paper using the paradigm of depth functions. Statistical depth functions provide from the “deepest” point a “center-outward ordering” of a multidimensional data distribution and they can be therefore used to construct morphological operators. The fundamental assumption ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Non-Local Morphological PDEs and p -Laplacian Equation on Graphs With Applications in Image Processing and Machine Learning

    Publication Year: 2012, Page(s):764 - 779
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6552 KB) | HTML iconHTML

    In this paper, we introduce a new class of non-local p-Laplacian operators that interpolate between non-local Laplacian and infinity Laplacian. These operators are discrete analogous of the game p -laplacian operators on Euclidean spaces, and involve discrete morphological gradient on graphs. We study the Dirichlet problem associated with the new p-Laplacian equation and prove... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Active Contours on Graphs: Multiscale Morphology and Graphcuts

    Publication Year: 2012, Page(s):780 - 794
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4131 KB) | HTML iconHTML

    In this paper we propose two novel methods for formulating and implementing the methodology of geodesic active contours on arbitrary graphs, as applied to multiscale morphology and segmentation. Firstly, we propose approximations to the calculation of the gradient and the divergence of vector functions defined on graphs and use these approximations to apply the technique of geodesic active contour... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • First Departure Algorithms and Image Decompositions Into Peaks and Wells

    Publication Year: 2012, Page(s):795 - 808
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4003 KB) | HTML iconHTML

    An image may be decomposed as a difference between an image of peaks and an image of wells. This decomposition depends upon the point of view, an arbitrary set from where the image is considered: a peak appears as a peak if it is impossible to reach it starting from any position in the point of view without climbing. A well cannot be reached without descending. To each particular point of view cor... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Salience Adaptive Structuring Elements

    Publication Year: 2012, Page(s):809 - 819
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3276 KB) | HTML iconHTML

    Spatially adaptive structuring elements adjust their shape to the local structures in the image, and are often defined by a ball in a geodesic distance or gray-weighted distance metric space. This paper introduces salience adaptive structuring elements as spatially variant structuring elements that modify not only their shape, but also their size according to the salience of the edges in the image... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Spatially and Intensity Adaptive Morphology

    Publication Year: 2012, Page(s):820 - 829
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6254 KB) | HTML iconHTML

    In this paper, spatially and intensity adaptive morphology is introduced and studied in the context of the General Adaptive Neighborhood Image Processing (GANIP) approach. The combination of GAN (General Adaptive Neighborhood)-based filtering and semi-flat morphology is particularly efficient in the sense that the filtering is adaptive to the image spatial structures (structuring elements are spat... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient Robust d-Dimensional Path Operators

    Publication Year: 2012, Page(s):830 - 839
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1852 KB) | HTML iconHTML

    Path openings and closings are efficient morphological operators that use flexible oriented paths as structuring elements. They are employed in a similar way to operators with rotated line segments as structuring elements, but are more effective at detecting linear structures that are not necessarily locally perfectly straight. While their theory has always allowed paths in arbitrary dimensions, d... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • One-Dimensional Openings, Granulometries and Component Trees in {cal O}(1) Per Pixel

    Publication Year: 2012, Page(s):840 - 848
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2066 KB) | HTML iconHTML

    We introduce a new, efficient and adaptable algorithm to compute openings, granulometries and the component tree for one-dimensional (1-D) signals. The algorithm requires only one scan of the signal, runs in place in O(1) per pixel, and supports any scalar data precision (integer or floating-point data). The algorithm is applied to two-dimensional images along straight lines, in arbitrary o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fast Morphological Image Processing Open-Source Extensions for GPU Processing With CUDA

    Publication Year: 2012, Page(s):849 - 855
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1163 KB) | HTML iconHTML

    GPU architectures offer a significant opportunity for faster morphological image processing, and the NVIDIA CUDA architecture offers a relatively inexpensive and powerful framework for performing these operations. However, the generic morphological erosion and dilation operation in the CUDA NPP library is relatively naive, and performance scales expensively with increasing structuring element size... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles

    Publication Year: 2012, Page(s):856 - 865
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3145 KB) | HTML iconHTML

    Extended Attribute Profiles (EAPs), which are obtained by applying morphological attribute filters to an image in a multilevel architecture, can be used for the characterization of the spatial characteristics of objects in a scene. EAPs have proved to be discriminant features when considered for thematic classification in remote sensing applications especially when dealing with very high resolutio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Morphology-Based Crack Detection for Steel Slabs

    Publication Year: 2012, Page(s):866 - 875
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1655 KB) | HTML iconHTML

    Continuous casting is a highly efficient process used to produce most of the world steel production tonnage, but can cause cracks in the semi-finished steel product output. These cracks may cause problems further down the production chain, and detecting them early in the process would avoid unnecessary and costly processing of the defective goods. In order for a crack detection system to be accept... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multiple Luminaire Identification in Airborne Images of Airport's Approach Lighting Using Mathematical Morphology With Variable Length Structuring Element

    Publication Year: 2012, Page(s):876 - 885
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1974 KB) | HTML iconHTML

    In night aviation, to land an aircraft, a pilot needs to be able to identify an airport. The approach lighting system (ALS) at an airport is used to provide identification and guidance to pilots. ALS consists of more than 100 luminaires which are installed in a defined pattern following strict guidelines by the International Civil Aviation Organization (ICAO). ICAO also has strict regulations for ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE Journal of Selected Topics in Signal Processing information for authors

    Publication Year: 2012, Page(s):886 - 887
    Request permission for commercial reuse | PDF file iconPDF (132 KB)
    Freely Available from IEEE
  • Open Access [advertisement]

    Publication Year: 2012, Page(s): 888
    Request permission for commercial reuse | PDF file iconPDF (1156 KB)
    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2012, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (33 KB)
    Freely Available from IEEE
  • [Blank page]

    Publication Year: 2012, Page(s): C4
    Request permission for commercial reuse | PDF file iconPDF (5 KB)
    Freely Available from IEEE

Aims & Scope

The Journal of Selected Topics in Signal Processing (J-STSP) solicits special issues on topics that cover the entire scope of the IEEE Signal Processing Society including the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief

Shrikanth (Shri) S. Narayanan
Viterbi School of Engineering 
University of Southern California
Los Angeles, CA 90089 USA
shri@sipi.usc.edu