Graphical Models and Image Processing最新文献_第6页

Finitary 1-Simply Connected Digital Spaces 有限1-单连通数字空间

Graphical Models and Image Processing Pub Date : 1998-01-01 DOI: 10.1006/gmip.1997.0456

Gabor T. Herman

引用次数: 11

Region-Based Parametric Motion Segmentation Using Color Information 基于颜色信息的区域参数运动分割

Graphical Models and Image Processing Pub Date : 1998-01-01 DOI: 10.1006/gmip.1997.0453

Yucel Altunbasak , P.Erhan Eren, A.Murat Tekalp

引用次数: 125

Boundary Extraction from Gray-Scale Document Images Based on Surface Data Structures 基于表面数据结构的灰度文档图像边界提取

Graphical Models and Image Processing Pub Date : 1998-01-01 DOI: 10.1006/gmip.1997.0452

Hirobumi Nishida

{"title":"Boundary Extraction from Gray-Scale Document Images Based on Surface Data Structures","authors":"Hirobumi Nishida","doi":"10.1006/gmip.1997.0452","DOIUrl":"10.1006/gmip.1997.0452","url":null,"abstract":"<div><p>Recognition of documents of poor image quality is a challenging and important problem from a practical point of view. In traditional approaches, features such as center lines of strokes or contours are extracted from binary images obtained by thresholding the gray-scale intensity images. Wang and Pavlidis (<em>IEEE Trans. Pattern Anal. Machine Intell</em>. 15(10), 1993, 1053–1067) have recently pointed out that effective features for recognition should be extracted directly from original gray-scale intensity images in order to avoid a significant amount of information loss caused by binarization. In this paper, a novel method is presented for extracting closed boundaries of document components such as characters and symbols directly from gray-scale document images, based on the surface data structures and structural features. The gray-scale document image can be treated as a surface defined over a two-dimensional space by regarding intensity values associated with pixels as height. This method is based on a simple model that assumes a closed boundary of document components can be approximated as a series of horizontal (parallel to the image plane) line segments and can be extracted by linking surface components with steep gradients based on configurations of intersections of horizontal planes and surface components. Furthermore, the gray-scale image can be converted into a binary image based on extracted boundaries so that any recognition system can accept output of the proposed algorithm as input. The performance of the proposed algorithm is compared with some binarization algorithms based on global and local thresholding of intensity values and is shown to be effective for improving recognition accuracy for very poor quality data.</p></div>","PeriodicalId":100591,"journal":{"name":"Graphical Models and Image Processing","volume":"60 1","pages":"Pages 35-45"},"PeriodicalIF":0.0,"publicationDate":"1998-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/gmip.1997.0452","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134190128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Maximum Segmented Image Information Thresholding 最大分割图像信息阈值

Graphical Models and Image Processing Pub Date : 1998-01-01 DOI: 10.1006/gmip.1997.0455

C.K. Leung , F.K. Lam

引用次数: 39

Visibility Computation on Reconfigurable Meshes 可重构网格的可见性计算

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0440

Kikuo Fujimura

引用次数: 3

Geometric Shape Recognition of Freeform Curves and Surfaces 自由曲面和曲线的几何形状识别

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0441

Gershon Elber , Myung-Soo Kim

引用次数: 2

Vector Field Analysis and Synthesis Using Three-Dimensional Phase Portraits 利用三维相位肖像进行矢量场分析与合成

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0445

Paul A. Philippou , Robin N. Strickland

{"title":"Vector Field Analysis and Synthesis Using Three-Dimensional Phase Portraits","authors":"Paul A. Philippou , Robin N. Strickland","doi":"10.1006/gmip.1997.0445","DOIUrl":"10.1006/gmip.1997.0445","url":null,"abstract":"<div><p>Tools from dynamical systems theory are used to decompose 3-D vector fields into simpler building blocks consisting of critical points and phase portraits. A robust critical point detector is developed for three dimensions. Samples from the vector field surrounding each critical point are then used to estimate the associated linear phase portrait, which is written as a 3 × 3 matrix. The estimated matrix may be categorized into one of seven canonical forms by its eigenvalues, which remain consistent under an arbitrary differentiable mapping of the region. The original vector field behavior is estimated using two methods. In one technique, the global behavior is reconstructed using a weighted superposition of phase portraits. For more complex field patterns, a regular partition is imposed prior to phase portrait representation, and each individual partition is decomposed into a separate phase portrait. These methods provide a means of extracting the relevant features and information from the vector field in the form of a higher level descriptor and provide a means of reconstructing the field qualitatively from those descriptors. The method is demonstrated on fluid flow data.</p></div>","PeriodicalId":100591,"journal":{"name":"Graphical Models and Image Processing","volume":"59 6","pages":"Pages 446-462"},"PeriodicalIF":0.0,"publicationDate":"1997-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/gmip.1997.0445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123667468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Adaptive Early Jump-Out Technique for Fast Motion Estimation in Video Coding 视频编码中快速运动估计的自适应早期跳出技术

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0449

Ho-Chao Huang , Yi-Ping Hung

引用次数: 0

Multidimensional Alignment Using the Euclidean Distance Transform 利用欧几里得距离变换的多维对齐

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0447

Dorota Kozinska , Oleh J. Tretiak , Jonathan Nissanov , Cengizhan Ozturk

引用次数: 88

Segmentation of Planar Curves into Straight-Line Segments and Elliptical Arcs 平面曲线分割成直线段和椭圆弧

Graphical Models and Image Processing Pub Date : 1997-11-01 DOI: 10.1006/gmip.1997.0450

Wenhua Wan , José A. Ventura

{"title":"Segmentation of Planar Curves into Straight-Line Segments and Elliptical Arcs","authors":"Wenhua Wan , José A. Ventura","doi":"10.1006/gmip.1997.0450","DOIUrl":"https://doi.org/10.1006/gmip.1997.0450","url":null,"abstract":"<div><p>This paper presents a procedure for segmenting planar curves, mainly the projected boundary contours of machined parts, into straight-line segments and elliptical arcs. The break points are divided into two types: corners and smooth joins. The corners are detected by first applying adaptive smoothing to the tangent orientation along the curve, then taking the derivative of the smoothed tangent orientation, and finally locating the high spikes on the derivative. The smooth joins are first roughly located by a dynamic focusing fitting technique and then refined by an adjustment algorithm. The dynamic focusing fitting technique holds one end of a curve segment (which is bounded by a pair of adjacent corners) fixed and scans it from the other end until it focuses on a component segment which fits either a straight line or an elliptical arc. This component segment is identified and the process is repeated in the same manner for the rest of the curve. In the refining stage, each smooth join is adjusted to the left or to the right, point by point, until the measurement of goodness of fit for the curve segment is optimized. Tests of the procedure were performed with the boundary curves of three real object images.</p></div>","PeriodicalId":100591,"journal":{"name":"Graphical Models and Image Processing","volume":"59 6","pages":"Pages 484-494"},"PeriodicalIF":0.0,"publicationDate":"1997-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/gmip.1997.0450","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92095451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36