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2009 International Conference on Digital Image Processing

7-9 March 2009

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Displaying Results 1 - 25 of 95
  • [Front cover]

    Publication Year: 2009, Page(s): C1
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  • [Title page i]

    Publication Year: 2009, Page(s): i
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  • [Title page iii]

    Publication Year: 2009, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2009, Page(s): iv
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  • Table of contents

    Publication Year: 2009, Page(s):v - xi
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  • Preface

    Publication Year: 2009, Page(s): xii
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  • Organizing Committee

    Publication Year: 2009, Page(s): xiii
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  • Technical Committee

    Publication Year: 2009, Page(s): xiv
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  • Reviewers

    Publication Year: 2009, Page(s): xv
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  • A Combination Scheme for Fuzzy Partitions Based on Fuzzy Weighted Majority Voting Rule

    Publication Year: 2009, Page(s):3 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    This paper devotes to the combination of fuzzy partitions with the same number of clusters by means of generalizing the weighted majority voting rule to fuzzy weighted majority voting rule. The difficulties of this generalization are to establish the correspondences among the classes and determine the weight coefficients of component fuzzy partitions. We propose a class-matching algorithm based on... View full abstract»

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  • On Line Wavelets Transform on a Xilinx FPGA Circuit to Medical Images Compression

    Publication Year: 2009, Page(s):8 - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (339 KB) | HTML iconHTML

    Knowing that, the computing process of the S.Mallat Transform algorithm is characterized by a purely sequential structure, and from the fact, the on line mode arithmetic is more suitable for the computation of this kind of operations. We propose in this paper, a new wavelet Transform algorithm and a suitable architecture implemented on a Xilinx FPGA circuit. In this study, we will show how on line... View full abstract»

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  • Automatic Counting of Leukocytes in Giemsa-Stained Images of Peripheral Blood Smear

    Publication Year: 2009, Page(s):13 - 16
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (686 KB) | HTML iconHTML

    There are many different classes of leukocyte in peripheral blood image. Leukocyte count is used to determine the presence of an infection in the human body. To be able to observe and recognize the different kinds of leukocyte, you must stain them. For this purpose, normally Giemsa stain is used. There are two difficult issues in image segmentation which common segmentation algorithms can not over... View full abstract»

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  • A Novel Color Space Creating Method Applied to Skin Color Detection

    Publication Year: 2009, Page(s):17 - 21
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (153 KB) | HTML iconHTML

    This each three-component collection such as {red, green, blue} (RGB), and {luminance Y, chrominance Cr, chrominance Cb} (YCbCr) is termed as a color space. Many color spaces are related to each other by linear transformations that are captured by 3 times 3 matrices. Hence a given color, and thereby any color image, can be represented in terms of another color space by transforming its 3-d vector ... View full abstract»

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  • An Image Segmentation Algorithm Based on Fuzzy C-Means Clustering

    Publication Year: 2009, Page(s):22 - 26
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (343 KB) | HTML iconHTML

    Image segmentation algorithm based on fuzzy c-means clustering is an important algorithm in the image segmentation field. It has been used widely. However, it is not successfully to segment the noise image because the algorithm disregards of special constraint information. It only considers the gray information. Therefore, we proposed a weighed FCM algorithm based on Gaussian kernel function for i... View full abstract»

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  • Multilevel Image Reconstruction by Interpolating Wavelet Coefficients

    Publication Year: 2009, Page(s):27 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (254 KB) | HTML iconHTML

    High resolution (HR) image reconstruction produces one high-resolved image from a set of low-resolution (LR) images which may be blurred, degraded and shifted. In this paper, a wavelet-based multilevel Heritage reconstruction method is proposed to recover the HR image from the estimated middle-resolution (MR) data which are obtained from the observed LR images. The relationship between the wavelet... View full abstract»

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  • Blood Vessel Enhancement and Segmentation Using Wavelet Transform

    Publication Year: 2009, Page(s):34 - 38
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1389 KB) | HTML iconHTML

    Retinal vessel segmentation is an essential step for the diagnoses of various eye diseases. An automated tool for blood vessel segmentation is useful to eye specialists for purpose of patient screening and clinical study. Vascular pattern is normally not visible in retinal images. In this paper, we present a method for enhancing, locating and segmenting blood vessels in images of retina. We presen... View full abstract»

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  • Image Retrieval Using Fuzzy and Neuro-fuzzy Approaches with Fuzzy Color Semantics

    Publication Year: 2009, Page(s):39 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (875 KB) | HTML iconHTML

    In this paper, two different approaches to color binning and subsequent JNS (Just Not the Same) color histogram computation are discussed. The first approach is based on a neural network color classifier trained using error back propagation training algorithm. The second approach is based on heuristically designed fuzzy classifier using fuzzy if-then rules for classifying color pixels into one of ... View full abstract»

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  • Motion-Based Blind Super-Resolution Approach to Overcome Spatial Limitation of Camera Sensor Network

    Publication Year: 2009, Page(s):45 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    Camera sensor network (CSN) is widely used in many new applications. But low quality images or videos obtained by cheap surveillance cameras are a bottleneck for the development of CSN. A new motion-based blind super-resolution algorithm is proposed to improve the resolution of acquired image. In this method, improved projection transformation is adopted to estimate relative motion of the low-reso... View full abstract»

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  • A Novel Region Based Multifocus Image Fusion Method

    Publication Year: 2009, Page(s):50 - 54
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (874 KB) | HTML iconHTML

    Image fusion is a process of combining multiple input images of the same scene into a single fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine perception. In this paper, a novel region based image fusion method is proposed. In literature shows that region based image fusion alg... View full abstract»

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  • Quantitative Analysis of Brain Tissues from Magnetic Resonance Images

    Publication Year: 2009, Page(s):57 - 61
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the origi... View full abstract»

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  • Research on the Video Segmentation Method with Integrated Multi-features Based on GMM

    Publication Year: 2009, Page(s):62 - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Video segmentation is a hot issue in the image research field. In the current video segmentation method, the pixel color feature in a frame is only considered. The pertinent problem between adjacent pixels is not taken into account. This paper proposes a video segmentation method based on GMM (Gaussian Mixture Model) modeling, meanwhile a method integrating the neighborhood characteristic of a pix... View full abstract»

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  • A Blind Image Adaptive Watermarking Scheme for Audio Using Wavelet Transform

    Publication Year: 2009, Page(s):67 - 71
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1100 KB) | HTML iconHTML

    In this paper, we present a novel algorithm for robust audio watermarking in image using wavelet transform based on an image texture. The algorithm is based on decomposition of images using Daubechies wavelet basis. The technique proposed in this paper resolves the problem of severe distortion caused by watermarking audio in an image by developing a scaling function that achieves maximum robustnes... View full abstract»

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  • Polar Run-Length Features in Segmentation of Retinal Blood Vessels

    Publication Year: 2009, Page(s):72 - 75
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    Manual segmentation of retinal blood vessels in optic fundus images is a tiresome task. Several methods have previously been proposed for the automatic segmentation of retinal blood vessels. In this paper we propose a classifier-based method. First the images are preprocessed so that the within class variability of the vessel and background classes are minimized. Next, the image is scanned with a ... View full abstract»

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  • Feature-Based Steganalysis for JPEG Images

    Publication Year: 2009, Page(s):76 - 80
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (295 KB) | HTML iconHTML

    The goal of blind steganalysis is to detect the presence of hidden data and to eventually extract them from the stego images generated by various data hiding schemes. In this paper, we construct a new blind classifier capable of detecting several steganographies for JPEG images. Thirteen statistics are collected in the DCT domain and spatial domain. By using the characteristic function and the cen... View full abstract»

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  • Connected Numeral Strings Segmentation Based on the Combination of Characteristic Position and Contour Detecting

    Publication Year: 2009, Page(s):81 - 84
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (271 KB) | HTML iconHTML

    Segmentation of Connected numeral strings plays an important role in number recognition systems. A new method to segment two connected numeral strings is proposed in the article, we define characteristic position first, using it the graph-representation of the image is derived, based on this and using contour detecting we attain the candidate segmentation position pairs used for determining the se... View full abstract»

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