检索结果-内蒙古大学图书馆

image segmentation in compressed domain

JOURNAL OF ELECTRONIC IMAGING 2003年第3期12卷 390-397页

作者： Feng, GC Jiang, JM Univ Bradford Sch Informat Bradford BD7 1DP W Yorkshire England Zhongshan Univ Fac Math & Comp Sci Guangzhou Peoples R China

We propose a direct image segmentation algorithm in the JPEG compressed domain. The algorithm features extracting statistical parameters from direct cosine transform (DCT) coefficients without its inverse transform, and growing regions in line with JPEG compression seamlessly in blocks of 8 x 8 pixels. In comparison with the latest research efforts in region-based image segmentation, our proposed algorithm achieves significant advantages, including (1) no iteration is involved, (2) no full decompression is required, and (3) segmentation performance is competitive. (C) 2003 SPIE and IST.

关键词： image segmentation image compression image processing algorithms and systems Algorithm development image processing image retrieval Sensors Detection and tracking algorithms Edge detection Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Segmentation of breast tumors in mammograms using fuzzy sets

引用

JOURNAL OF ELECTRONIC IMAGING 2003年第3期12卷 369-378页

作者： Guliato, D Rangayyan, RM Carnielli, WA Zuffo, JA Desautels, JEL Univ Fed Uberlandia Dept Informat Lab Bioinformat BR-38400089 Uberlandia MG Brazil Univ Calgary Dept Elect & Comp Engn Calgary AB T2N 1N4 Canada Univ Calgary Dept Radiol Calgary AB T2N 1N4 Canada Univ Estadual Campinas Ctr Log & Epistemol BR-13081970 Campinas SP Brazil Univ Sao Paulo Escola Politecn Lab Sistemas Integraveis Div Sistenas Digitais BR-05508900 Sao Paulo SP Brazil Screen Test Alberta Calgary AB T2P 3G9 Canada

Defining criteria to determine precisely the boundaries of masses in mammograms is a difficult task. The problem is compounded by the fact that most malignant tumors possess fuzzy boundaries with a slow and extended transition from a dense core region to the surrounding less-dense tissues. We propose two segmentation methods that incorporate fuzzy concepts. The first method determines the boundary of a mass or tumor by region growing after a preprocessing step based on fuzzy sets to enhance the region of interest (ROI). Contours provided by the method have demonstrated a good match with the contours drawn by a radiologist, as indicated by good agreement between the two sets of contours for 47 mammograms. The second segmentation method is a fuzzy region-growing method that takes into account the uncertainty present around the boundaries of tumors. The difficult step of deciding on a crisp boundary is obviated in the proposed method. Measures of inhomogeneity computed from the pixels present in a suitably defined fuzzy ribbon have indicated potential use in classifying the masses and tumors as benign or malignant, with a sensitivity of 0.8 and a specificity of 0.9. (C) 2003 SPIE and IST.

关键词： Fuzzy logic Tumors image segmentation Mammography Breast Tissues image processing image processing algorithms and systems Medical imaging Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Contextual algorithm for color quantization

引用

JOURNAL OF ELECTRONIC IMAGING 2003年第3期12卷 442-447页

作者： Yu, MP Lo, KC Hong Kong Polytech Univ Dept Elect & Informat Engn Kowloon Hong Kong Peoples R China

We propose a heuristic approach to color quantize images with contextual information taken into consideration. The idea is to locate the regions of an image having the greatest need for colors, and allocate more quantization levels to them. We achieve this by scanning the elements of the input image in a way determined by their local intensity and selecting the color representatives that comprise the color map according to their local popularity. The overall performance of the color quantization algorithm is evaluated on a representative set of artificial and real images. The experimental results indicate good performance of our proposed algorithm with the capability to focus on the regions of an image having important color information. (C) 2003 SPIE and IST.

关键词： image segmentation Quantization Diffusion RGB color model Error analysis image processing algorithms and systems image processing Imaging arrays image quality Visualization

来源：评论

学校读者我要写书评

暂无评论

Robust and efficient image segmentation approaches using Markov random field models

引用

JOURNAL OF ELECTRONIC IMAGING 2003年第1期12卷 50-58页

作者： Nasab, NM Analoui, M Delp, EJ Indiana Univ Sch Dent Indianapolis IN 46202 USA Purdue Univ Dept Biomed Engn W Lafayette IN 47907 USA Pfizer Inc Global Res & Dev Groton CT 06340 USA

Modified implementations of simulated annealing (SA) for image segmentation are proposed and evaluated. The segmentation procedure is based on a Markov random field (MRF) model for describing regions within an image. SA offers an iterative approach for computing a set of labels with maximum a posteriori (MAP) probability. However, this approach is computationally expensive and lacks robustness in noisy environments. We propose a random cost function (RCF) for computing a posterior energy function in SA. The proposed modified SA (SA-RCF) method depicts more robust performance for image segmentation than standard SA at the same computational cost. Alternatively, we proposed a multi-resolution (MR) approach based on MRF which offers robust segmentation for noisy images with significant reduction in the computational cost. Computational cost and segmentation accuracy of each algorithm were examined using a set of simulated head computerized tomography (CT) phantoms. (C) 2003 SPIE and IST.

关键词： image segmentation image resolution Magnetic resonance imaging image processing algorithms and systems algorithms Magnetorheological finishing image analysis Stochastic processes Computed tomography Dentistry

来源：评论

学校读者我要写书评

暂无评论

Geometrical image compression with bandelets

Geometrical image compression with bandelets

引用

Conference on Visual Communications and image processing 2003

作者： Le Pennec, E Mallat, S Ecole Polytech CMAP F-91128 Palaiseau France

ISBN: (纸本)0819450235

This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet bases.

关键词： Wavelets image compression image segmentation Distortion image filtering Curium image processing algorithms and systems image processing Quantization Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Feature extraction and segmentation in medical images by statistical optilmization and point operation approaches

Feature extraction and segmentation in medical images by sta...

引用

Medical Imaging 2003 Conference

作者： Yang, SY King, P Corona, E Wilson, M Aydin, K Mitra, S Soliz, P Nutter, B Kwon, YH Texas Tech Univ Lubbock TX 79409 USA

ISBN: (纸本)0819448338

Feature extraction is a critical preprocessing step, which influences the outcome of the entire process of developing significant metrics for medical image evaluation. The. purpose of this paper is firstly to compare the effect of an optimized statistical feature extraction methodology to a well-designed combination of point operations for feature extraction at the preprocessing stage of retinal images for developing useful diagnostic metrics for retinal diseases such as glaucoma and diabetic retinopathy. Segmentation of the extracted features allows us to investigate the effect of occlusion induced by these features on generating stereo disparity mapping and 3-D visualization of the optic cup/disc. Segmentation of blood vessels in the retina also has significant application in generating precise vessel diameter metrics in vascular diseases such as hypertension and diabetic retinopathy for monitoring progression of retinal diseases.

关键词： image segmentation Blood vessels Feature extraction Edge detection image processing Medical imaging image processing algorithms and systems Surgery Computer programming Optimization (mathematics)

来源：评论

学校读者我要写书评

暂无评论

Automatic discrimination of text images

Automatic discrimination of text images

引用

Conference on Sensors and Camera systems for Scientific, Industrial, and Digital Photography Applications IV

作者： Alessi, NG Battiato, S Gallo, G Mancuso, M Stanco, F Univ Catania DMI I-95125 Catania Italy

ISBN: (纸本)0819448176

This paper introduces a method for the automatic discrimination of digital images based on their semantic content. The proposed system allows to detect if a digital image contains or not a text. This is realized by a multi-steps procedure based on low-level features set properly derived. Our experiments show that the proposed algorithm is competitive in efficiency with classical techniques, and it has a lower complexity.

关键词： image segmentation image classification Cameras Digital cameras image processing Databases Digital photography image processing algorithms and systems image resolution Classification systems

来源：评论

学校读者我要写书评

暂无评论

Document structure analysis algorithms: A literature survey

Document structure analysis algorithms: A literature survey

引用

Conference on Document Recognition and Retrieval X

作者： Mao, S Rosenfeld, A Kanungo, T Univ Maryland Ctr Automat Res College Pk MD 20742 USA

ISBN: (纸本)0819448109

Document structure analysis can be regarded as a syntactic analysis problem. The order and containment relations among the physical or logical components of a document page can be described by an ordered tree structure and can be modeled by a tree grammar which describes the page at the component level in terms of regions or blocks. This paper provides a detailed survey of past work on document structure analysis algorithms and summarize the limitations of past approaches. In particular, we survey past work on document physical layout representations and algorithms, document logical structure representations and algorithms, and performance evaluation of document structure analysis algorithms. In the last section, we summarize this work and point out its limitations.

关键词： image segmentation Detection and tracking algorithms Optical character recognition Error analysis image processing algorithms and systems Analytical research Stochastic processes Prototyping Rule based systems Visualization

来源：评论

学校读者我要写书评

暂无评论

K-Means Re-Clustering - algorithmic options with quantifiable performance comparisons

K-Means Re-Clustering - algorithmic options with quantifiabl...

引用

Conference on Optical Engineering at the Lawrence-Livermore-National-Laboratory

作者： Meyer, A Paglieroni, D Astaneh, C Lawrence Livermore Natl Lab Livermore CA 94550 USA

ISBN: (纸本)081944801X

This paper presents various architectural options for implementing a K-Means Re-Clustering algorithm suitable for unsupervised segmentation of hyperspectral images. Performance metrics are developed based upon quantitative comparisons of convergence rates and segmentation quality. A methodology for making these comparisons is developed and used to establish K values that produce the best segmentations with minimal processing requirements. Convergence rates depend on the initial choice of cluster centers. Consequently, this same methodology may be used to evaluate the effectiveness of different initialization techniques.

关键词： image segmentation Expectation maximization algorithms image processing algorithms and systems Algorithm development image quality Spectral resolution Hyperspectral imaging image classification Quantization image processing

来源：评论

学校读者我要写书评

暂无评论

Quality analysis of blue-veined cheeses by MRI. A preliminary study.

Quality analysis of blue-veined cheeses by MRI. A preliminar...

引用

6th International Conference on Quality Control by Artificial Vision

作者： Onea, A Collewet, G Fernandez, C Vertan, C Richard, N Mariette, F Irstea F-35000 Rennes France

ISBN: (纸本)0819449989

This paper describes a preliminary study aimed at improving the quality of soft-blue veined cheeses by the use of magnetic resonance images analysis. MRI measurements were performed on thirty-two samples from two different processing conditions and at three different stages from day 3 after the production to day 37. A segmentation algorithm based on a Self Organizing Map was used to segment the images into six classes. A cavity extraction was then performed. A principal component analysis was computed on variables corresponding to the cavities surface distribution. The results pointed out differences between the two types of cheeses, particularly for day 3 and day 37. This confirmed the interest to use MRI to analyze such products. Further investigations are planned for the analysis of other characteristics of the cheeses and other methods of segmentation.

关键词： Magnetic resonance imaging image segmentation Principal component analysis image analysis Scanners Statistical analysis Binary data image processing algorithms and systems Magnetism Visualization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：