Notice
There is currently an issue with the citation download feature. Learn more

2007 IEEE International Conference on Image Processing

Sept. 16 2007-Oct. 19 2007

Go

Filter Results

Displaying Results 1 - 25 of 156
  • [Front cover]

    Publication Year: 2007, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (93 KB)
    Freely Available from IEEE
  • 2007 IEEE International Conference on Image Processing

    Publication Year: 2007, Page(s): i
    Request permission for commercial reuse | PDF file iconPDF (89 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2007, Page(s): ii
    Request permission for commercial reuse | PDF file iconPDF (102 KB)
    Freely Available from IEEE
  • Chairman's welcome

    Publication Year: 2007, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (85 KB) | HTML iconHTML
    Freely Available from IEEE
  • Technical program overview

    Publication Year: 2007, Page(s):iv - v
    Request permission for commercial reuse | PDF file iconPDF (119 KB) | HTML iconHTML
    Freely Available from IEEE
  • Organizing Committee

    Publication Year: 2007, Page(s): vi
    Request permission for commercial reuse | PDF file iconPDF (70 KB)
    Freely Available from IEEE
  • Technical Program Committee

    Publication Year: 2007, Page(s): vi
    Request permission for commercial reuse | PDF file iconPDF (70 KB)
    Freely Available from IEEE
  • list-reviewer

    Publication Year: 2007, Page(s):vii - xi
    Request permission for commercial reuse | PDF file iconPDF (124 KB)
    Freely Available from IEEE
  • [Breaker page]

    Publication Year: 2007, Page(s): xii
    Request permission for commercial reuse | PDF file iconPDF (57 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2007, Page(s):xiii - lxxxvii
    Request permission for commercial reuse | PDF file iconPDF (376 KB)
    Freely Available from IEEE
  • [Breaker page]

    Publication Year: 2007, Page(s): lxxxviii
    Request permission for commercial reuse | PDF file iconPDF (58 KB)
    Freely Available from IEEE
  • A Novel Image Re-Indexing by Self Organizing Motor Maps

    Publication Year: 2007, Page(s):VI - 1 - VI - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (353 KB) | HTML iconHTML

    Palette re-ordering is a well known and very effective approach for improving the compression of color indexed images. If the spatial distribution of the indexes in the image is smooth, greater compression ratios may be obtained. As known, obtaining an optimal re-indexing scheme is not a trivial task. In this paper we provide a novel algorithm for palette re-ordering problem making use of a motor ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On Cluster Validity Indexes in Fuzzy and Hard Clustering Algorithms for Image Segmentation

    Publication Year: 2007, Page(s):VI - 5 - VI - 8
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (243 KB) | HTML iconHTML

    This paper addresses the issue of assessing the quality of the clusters found by fuzzy and hard clustering algorithms. In particular, it seeks an answer to the question on how well cluster validity indexes can automatically determine the appropriate number of clusters that represent the data. The paper surveys several key existing solutions for cluster validity in the domain of image segmentation.... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust Estimation of Knee Kinematics After Total Knee Arthroplasty with Evolutional Computing Approach

    Publication Year: 2007, Page(s):VI - 9 - VI - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (349 KB) | HTML iconHTML

    Analyzing knee kinematics after total knee arthroplasty (TKA) has been attracting considerable attentions because the knee kinematics can be used to evaluate TKA patients and to evaluate TKA operations and design of knee implants. Knee kinematics can be estimated by 2-D/3-D image registration from 3-D computer-aided design (CAD) models of knee implants to 2-D X-ray image. Although there are many s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multichannel Image Decomposition by using Pseudo-Linear Haar Wavelets

    Publication Year: 2007, Page(s):VI - 17 - VI - 20
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB) | HTML iconHTML

    Recently it has been shown that in image processing, the usual sum and product of the reals are not the only operations that can be used. Several other operations provided by fuzzy logic perform well in this application. We continue this line of research and we study the possibility to use some pairs of pseudo-operations. We define in the present paper pseudo-linear Haar wavelets, and we perform m... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multi-Level Discrete Cosine Transform for Content-Based Image Retrieval by Support Vector Machines

    Publication Year: 2007, Page(s):VI - 21 - VI - 24
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    Texture feature extraction is widely used in content-based image retrieval (CBIR) and is not efficient to be implemented directly in the pixel domain due to high information redundancy and strong correlations in raw images. It is well known that low-frequency coefficients of the discrete cosine transforms (DCTs) preserve the most important image features. In this paper, we use multi-level DCTs (MD... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Color Image Retrieval using Fuzzy Similarity Measures and Fuzzy Partitions

    Publication Year: 2007, Page(s):VI - 13 - VI - 16
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (306 KB) | HTML iconHTML

    Color image retrieval is becoming more and more important, and so is the quest for automated and reliable retrieval systems. In this paper we present and illustrate a new color image retrieval system, of which the novelty lies in the use of a fuzzy partition of the HSI color space and fuzzy similarity measures. The system has the advantage that the images don't have to be characterized in advance ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Greedy Performance Driven Algorithm for Decision Fusion Learning

    Publication Year: 2007, Page(s):VI - 25 - VI - 28
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (238 KB) | HTML iconHTML

    We propose a greedy performance driven algorithm for learning how to fuse across multiple classification and search systems. We assume a scenario when many such systems need to be fused to generate the final ranking. The algorithm is inspired from Ensemble Learning but takes that idea further for improving generalization capability. Fusion learning is applied to leverage text, visual and model bas... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods

    Publication Year: 2007, Page(s):VI - 29 - VI - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (269 KB) | HTML iconHTML

    We present a general framework for combination of two distinct local denoising methods. Interpolation between the two methods is controlled by a spatially varying decision function. Assuming the availability of clean training data, we formulate a learning problem for determining the decision function. As an example application we use Weighted Kernel Ridge Regression to solve this learning problem ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Retinal Vessel Detection using Self-Matched Filtering

    Publication Year: 2007, Page(s):VI - 33 - VI - 36
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (624 KB) | HTML iconHTML

    Automated analysis of retinal images usually requires estimating the positions of blood vessels, which contain important features for image alignment and abnormality detection. Matched filtering can produce the best results but is difficult to implement because the vessel orientations and widths are unknown beforehand. Many researchers use Hessian filtering, which provides an estimate for vessel o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Edge Sensitive Variational Image Thresholding

    Publication Year: 2007, Page(s):VI - 37 - VI - 40
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (314 KB) | HTML iconHTML

    In this paper we propose a locally adaptive image threshold technique via variational energy minimization. The novelty of the proposed method is that from an image it automatically computes the weights on the data fidelity and the regularization terms in the energy functional, unlike many other previously proposed variational formulations that require manual input of these weights by laborious tri... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A General Two-Dimensional Hidden Markov Model and its Application in Image Classification

    Publication Year: 2007, Page(s):VI - 41 - VI - 44
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (422 KB) | HTML iconHTML

    In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality is preserved. The proposed 2D-HMM model can capture, for example, dependency among diagonal states, which can be critical in many image processing applications. A new expectation-maximization (EM) algorithm suitable for ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Structural Image Segmentation with Interactive Model Generation

    Publication Year: 2007, Page(s):VI - 45 - VI - 48
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1081 KB) | HTML iconHTML

    An image segmentation method based on structural pattern recognition is presented. Two graphs are generated from the image to be segmented. A model graph is generated from an oversegmentation of the image and from traces provided by the user. An input graph is generated from the oversegmented image. Image segmentation is then obtained by matching the input graph to the model graph. An objective fu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Segmentation and Detection of Nuclei in Silver Stained Cell Specimens for Early Cancer Diagnosis

    Publication Year: 2007, Page(s):VI - 49 - VI - 52
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (249 KB) | HTML iconHTML

    For successful cure, cancer has to be detected as early as possible. Since cancer starts from a single cell, this can best be done using cytopathological methods. One important diagnostically relevant measure is the proliferation rate of the cells, which can be estimated from segmented silver stained nuclei. However, the microscopy images of silver stained specimens vary strongly in intensity and ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Improved Image Segmentation using Photonic Mixer Devices

    Publication Year: 2007, Page(s):VI - 53 - VI - 56
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (575 KB) | HTML iconHTML

    Aiming at improving image segmentation and extending regular computer vision algorithms an image sensor, acquiring additional depth information is deployed. The novel photonic mixer device (PMD) technology was summarized, by which it becomes possible to measure the observed object's distance to the camera. Motivated by expanding and making existing image processing and segmentation algorithms more... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.