Results 1 - 10 of 233

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

by James Z. Wang, Jia Li, Gio Wiederhold - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
Abstract - Cited by 551 (35 self) - Add to MetaCart
of inaccurate segmentation, 2) helps to clarify the semantics of a particular region, and 3) enables a simple querying interface for region-based image retrieval systems. The application of SIMPLIcity to several databases, including a database of about 200,000 general-purpose images, has demonstrated that our

Intelligent Scissors for Image Composition

by Eric N. Mortensen, William A. Barrett - In Computer Graphics, SIGGRAPH Proceedings , 1995
"... We present a new, interactive tool called Intelligent Scissors which we use for image segmentation and composition. Fully automated segmentation is an unsolved problem, while manual tracing is inaccurate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images ..."
Abstract - Cited by 291 (7 self) - Add to MetaCart
We present a new, interactive tool called Intelligent Scissors which we use for image segmentation and composition. Fully automated segmentation is an unsolved problem, while manual tracing is inaccurate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images

Interactive segmentation with intelligent scissors

by Eric N. Mortensen, William A. Barrett - Graphical Models and Image Processing , 1998
"... We present a new, interactive tool called Intelligent Scissors which we use for image seg-mentation. Fully automated segmentation is an unsolved problem, while manual tracing is inaccu-rate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images to be extracte ..."
Abstract - Cited by 145 (3 self) - Add to MetaCart
We present a new, interactive tool called Intelligent Scissors which we use for image seg-mentation. Fully automated segmentation is an unsolved problem, while manual tracing is inaccu-rate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images

IRM: Integrated Region Matching for Image Retrieval

by Jia Li, James Z. Wang, Gio Wiederhold , 2000
"... Content-based image retrieval using region segmentation has been an active research area. We present IRM (Integrated Region Matching), a novel similarity measure for regionbased image similarity comparison. The targeted image retrieval systems represent an image by a set of regions, roughly correspo ..."
Abstract - Cited by 101 (14 self) - Add to MetaCart
on individual regions, the overall similarity approach reduces the influence of inaccurate segmentation, helps to clarify the semantics of a particular region, and enables a simple querying interface for region-based image retrieval systems. The IRM has been implemented as a part of our experimental SIMPLIcity

A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval

by Yixin Chen , James Z. Wang , 2002
"... This paper proposes a fuzzy logic approach, UFM (unified feature matching), for region-based image retrieval. In our retrieval system, an image is represented by a set of segmented regions each of which is characterized by a fuzzy feature (fuzzy set) reflecting color, texture, and shape properties. ..."
Abstract - Cited by 112 (13 self) - Add to MetaCart
with crisp-valued feature representations, the UFM measure greatly reduces the inuence of inaccurate segmentation, and provides a very intuitive quantification. The UFM has been implemented as a part of our experimental SIMPLIcity image retrieval system. The performance of the system is illustrated using

LINE SEGMENTATION USING CONTOUR TRACING

by Ashu Kumar , Simpel Rani Jindal , Galaxy Singla
"... Abstract: Text line segmentation is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of handwriting makes ..."
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Abstract: Text line segmentation is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of handwriting

Web data extraction based on partial tree alignment

by Yanhong Zhai , 2005
"... This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items/fields from them and put the data in a database table. This problem has been studied by several researchers. However, ex ..."
Abstract - Cited by 141 (5 self) - Add to MetaCart
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items/fields from them and put the data in a database table. This problem has been studied by several researchers. However

Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and

by Future Trends, Awais Mansoor Phd, Ulas Bagci Phd, Ziyue Xu Phd, Georgios Z. Papadakis, Jayaram K. Udupa , 1056
"... The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on computed tomographic (CT) images, which is called segmentation, is a vital first step in radio-logic pulmonary image analysis. Many algorithms and software platforms provide image segmentation routin ..."
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, computer-aided detection systems may be highly likely to fail to depict those abnormal regions because of inaccurate segmentation methods. In particular, abnormali-ties such as pleural effusions, consolidations, and masses often cause inaccurate lung segmentation, which greatly limits the use of image

Extraction of Line Segments and Circular Arcs From Freehand Strokes Based on Segmental Homogeneity Features

by Xiwen Zhang, Jiqiang Song, Guozhong Dai, Michael R. Lyu - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
"... Abstract—The extraction of component line segments and circular arcs from freehand strokes along with their relations is a prerequisite for sketch understanding. Existing approaches usually take three stages to segment a stroke: first identifying seg-mentation points, then classifying the substroke ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
between each pair of adjacent segmentation points, and, finally, obtaining graphical representations of substrokes by fitting graphical primitives to them. Since a stroke inevitably contains noises, the first stage may produce wrong or inaccurate segmentation points, resulting in the wrong substroke

Shape-Specific Adaptations for Level-Set Deformable Model-Based Segmentation

by Marko Subasic, Sven Loncaric, Erich Sorantin
"... . In this paper we present two modifications to the original level set algorithm for implementation of deformable models. The modifications are motivated by difficulties that we have encountered in application of deformable models to segmentation of abdominal aortic aneurysm from computed tomogr ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
tomography images. The level set algorithm has some advantages over the classical snake deformable models but it has difficulties with large gaps in the boundary of segmented region. Such boundary gaps may cause inaccurate segmentation that requires manual correction by the user while our goal is to keep
Results 1 - 10 of 233