RANVEC and the Arc Segmentation Contest

Hilaire, Xavier

doi:10.1007/3-540-45868-9_32

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…These objects are constructed from skeletonisation based process [23] or contouring based process [28] [8] [62] (we talk about contour matching). The contour matching is generally used to rebuild the shapes' junctions [28].…”

Section: High-level Object Constructionmentioning

confidence: 99%

“…After this construction, new structural representations can be created, describing the structural relations between the high-level objects [45]. The Figure 3 (a) gives a use-case for circle reconstruction from skeletonisation based process [23]. The Figure 3 (b) gives an example of contour matching into triangle graph [62].…”

Section: High-level Object Constructionmentioning

confidence: 99%

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Local Structural Analysis: A Primer

Delalandre

Trupin

Ogier

2004

Graphics Recognition. Recent Advances and Perspectives

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The structural analysis is a processing step during which graphs are extracted from binary images. We can decompose the structural analysis into local and global approaches. The local approach decomposes the connected components, and the global approach groups them together. This paper deals especially with the local structural analysis. The local structural analysis is employed for different applications like symbol recognition, line drawing interpretation, and character recognition. We propose here a primer on the local structural analysis. First, we propose a general decomposition of the local structural analysis into four steps: object graph extraction, mathematical approximation, high-level object construction, and object graph correction. Then, we present some considerations on the method comparison and combination.

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Section: High-level Object Constructionmentioning

confidence: 99%

Section: High-level Object Constructionmentioning

confidence: 99%

Local Structural Analysis: A Primer

Delalandre

Trupin

Ogier

2004

Graphics Recognition. Recent Advances and Perspectives

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“…However, only two systems actually made it to the contest: Dave Elliman [12] and Xavier Hilaire [13]. The scores (VRIs) of their systems are listed in Table 1.…”

Section: Winners and Their Scoresmentioning

confidence: 99%

Extended Summary of the Arc Segmentation Contest

Wenyin

Zhai

Dori

2002

Lecture Notes in Computer Science

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“…The overall average of VRI scores was used as the ultimate measure of performance. The test involved two research prototypes (the methods of Dave Elliman [9] and Xavier Hilaire [10]) with their parameters fixed during the test. No commercial software were tested.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Empirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors

Al-Khaffaf

Talib

Salam

2011

IEICE Trans. Inf. & Syst.

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SUMMARYMany factors, such as noise level in the original image and the noise-removal methods that clean the image prior to performing a vectorization, may play an important role in affecting the line detection of raster-to-vector conversion methods. In this paper, we propose an empirical performance evaluation methodology that is coupled with a robust statistical analysis method to study many factors that may affect the quality of line detection. Three factors are studied: noise level, noise-removal method, and the raster-to-vector conversion method. Eleven mechanical engineering drawings, three salt-and-pepper noise levels, six noise-removal methods, and three commercial vectorization methods were used in the experiment. The Vector Recovery Index (VRI) of the detected vectors was the criterion used for the quality of line detection. A repeated measure ANOVA analyzed the VRI scores. The statistical analysis shows that all the studied factors affected the quality of line detection. It also shows that two-way interactions between the studied factors affected line detection.

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RANVEC and the Arc Segmentation Contest

Cited by 10 publications

References 2 publications

Local Structural Analysis: A Primer

Local Structural Analysis: A Primer

Extended Summary of the Arc Segmentation Contest

Empirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors

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