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Performance Evaluation in Image Processing

  1. We present in this paper a study of unsupervised evaluation criteria that enable the quantification of the quality of an image segmentation result. These evaluation criteria compute some statistics for each re...

    Authors: Sebastien Chabrier, Bruno Emile, Christophe Rosenberger and Helene Laurent
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:096306
  2. Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. S...

    Authors: Samy Ait-Aoudia and Abdelhalim Gabis
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:092734
  3. We present an accuracy evaluation of a semiautomatic registration technique for 3D volume reconstruction from fluorescent confocal laser scanning microscope (CLSM) imagery. The presented semiautomatic method i...

    Authors: Sang-Chul Lee, Peter Bajcsy, Amy Lin and Robert Folberg
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:082480
  4. Edge detection has been widely used in computer vision and image processing. However, the performance evaluation of the edge-detection results is still a challenging problem. A major dilemma in edge-detection ...

    Authors: Song Wang, Feng Ge and Tiecheng Liu
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:076278
  5. Tuning a complete image processing chain (IPC) is not a straightforward task. The first problem to overcome is the evaluation of the whole process. Until now researchers have focused on the evaluation of singl...

    Authors: Yves Lucas, Antonio Domingues, Driss Driouchi and Sylvie Treuillet
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:048012
  6. We present a unified method for single-stimulus quality assessment of segmented video. This method takes into consideration colour and motion features of a moving sequence and monitors their changes across seg...

    Authors: R Piroddi and T Vlachos
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:039482
  7. The task considered in this paper is performance evaluation of region segmentation algorithms in the ground-truth-based paradigm. Given a machine segmentation and a ground-truth segmentation, performance measu...

    Authors: Xiaoyi Jiang, Cyril Marti, Christophe Irniger and Horst Bunke
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:035909
  8. This paper extends the view of image processing performance measure presenting the use of this measure as an actual value in a feedback structure. The idea behind is that the control loop, which is built in th...

    Authors: Danijela Ristić and Axel Gräser
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:027848
  9. A method for segmentation assessment is proposed. The technique is based on a comparison of the segmentation produced by an algorithm with an ideal segmentation. The procedure to obtain the ideal segmentation ...

    Authors: Rubén Usamentiaga, Daniel F García, Carlos López and Diego González
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:021746
  10. The need for reliable identification and authentication is driving the increased use of biometric devices and systems. Verification and validation techniques applicable to these systems are rather immature and...

    Authors: Dejan Desovski, Vijai Gandikota, Yan Liu, Yue Jiang and Bojan Cukic
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:015940
  11. Many image segmentation algorithms are known, but often there is an inherent obstacle in the unbiased evaluation of segmentation quality: the absence or lack of a common objective representation for segmentati...

    Authors: Oleg Okun and Matti Pietikäinen
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:012093