Morphological approach for dashed lines detection

Agam, Gady; Luo, Huizhu; Dinstein, I.

doi:10.1007/3-540-61226-2_9

Cited by 20 publications

(13 citation statements)

References 7 publications

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“…We therefore needed a detection method to recognize them as such. This can be either done directly on the pixel image, using image processing tools such as directional mathematical morphology operators [1], or on the vectors yielded by the raster-to-vector conversion. We chose the latter approach and adapted to our case a method first proposed by Dori [8].…”

Section: Detection Of Dashed Linesmentioning

confidence: 99%

A complete system for the analysis of architectural drawings

Dosch

Tombre

Ah-Soon

et al. 2000

IJDAR

130

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In this paper, we present a complete system for the analysis of architectural drawings, with the aim of reconstructing in 3D the represented buildings. We successively describe the graphics recognition algorithms used for image processing and feature extraction, the 2D modeling step, which includes symbol recognition and converts the drawing into a description in terms of basic architectural entities, and a proposed 3D modeling process which matches reconstructed floors. The system also includes a powerful and flexible user interface.

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Section: Detection Of Dashed Linesmentioning

confidence: 99%

A complete system for the analysis of architectural drawings

Dosch

Tombre

Ah-Soon

et al. 2000

IJDAR

130

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“…Given two sets A, B C Z N, the morphological dilation and morphological erosion of A by B are defined [4] respectively by: (2) bEB where in these definitions(B)a ={x [ 3beB : x=a+b}. When comparing these definitions it is possible to observe that they differ by the sign in the condition, and by the strictness of the condition.…”

Section: The Strictness Of Morphological Operatorsmentioning

confidence: 99%

“…Directional morphological operators could be classified as a subset of the general morphological operators, in which the morphological kernel is non-isotropic. When a fine selectivity of the directional morphological operators is required, a large morphological kernel (or successive application of small kernels) may be required [1,2]. In such cases effects of digital artifacts and noise may damage the expected results due to extreme strictness of the ordinary morphological operators.…”

Section: Introductionmentioning

confidence: 99%

Generalized morphological operators applied to map-analysis

Agam

Dinstein

1996

Advances in Structural and Syntactical Pattern Recognition

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Abstract. The concept of strictness of morphological operators is discussed, and it is shown that the ordinary morphological operators have extreme strictness which leads to sensitivity to noise and digital artifacts. Based on this observation new morphological operators that generalize the ordinary morphological operators, are defined. The generalized operators have controllable strictness and so excessive erosion and dilation may be prevented. Some properties of the generalized morphological operators are discussed, and it is shown that they may have a linear filtering interpretation. The paper concludes with some preliminary examples demonstrating the advantages of the generalized morphological operators.

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“…The pattern of the dashed line is not explicitly reconstructed. An example of this is described in [6]. With the use of tube-directional morphological operations, line-segments are connected.…”

Section: Introductionmentioning

confidence: 99%