Curve segmentation under partial occlusion

Katzir, Nir; Lindenbaum, Michael; Porat, Moshe

doi:10.1109/34.291446

Cited by 33 publications

(19 citation statements)

References 16 publications

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“…Another popular way of shape representation in digital grid is curvature based polygonal approximation (Dudek and Tsotsos 1997;Katzir et al 1994;Ansari and Delp 1991;Pinheiro et al 2000;Bengtsson and Eklundh 1991). In these methods, the original contour is approximated by simplified polygon.…”

Section: Literature Reviewmentioning

confidence: 99%

A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves

2008

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In this paper, we propose a new definition of curvature, called visual curvature. It is based on statistics of the extreme points of the height functions computed over all directions. By gradually ignoring relatively small heights, a multi-scale curvature is obtained. The theoretical properties and the experiments presented demonstrate that multi-scale visual curvature is stable, even in the presence of significant noise. To our best knowledge, the proposed definition of visual curvature is the first ever that applies to regular curves as defined in differential geometry as well as to turn angles of polygonal curves. Moreover, it yields stable curvature estimates of curves in digital images even under sever distortions. We also show a relation between multi-scale visual curvature and convexity of simple closed curves.

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Section: Literature Reviewmentioning

confidence: 99%

A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves

2008

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“…Transformation: According to this if the movements are not similarly repeated (up to allowed distortion, usually 25-40 db), the details can be encoded as transformed versions of previous details [10] Hierarchy: According to this if a specific motion cannot be matched accurately according to coarse partitioning of the frame, a more refined description should be used [11,12].…”

Section: Imagesmentioning

confidence: 99%

An Efficient Coding Method for Teleconferencing and Medical Image Sequences

Arya

Mittal

Joshi

2005

2005 3rd International Conference on Intelligent Sensing and Information Processing

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In this paper, an efficient video coding, based on Three-Dimensional vector quantization system has been proposed. There are a few contributions of this paper, the proposed technique uses a pyramid code book based model instead of conventional single level code book. According to this model, if a specific motion cannot be matched accurately in higher level code book according to coarse partitioning of the frame, a more refined code book description is to be used. This technique also uses an adaptive vector quantization algorithm to train code book for optimal performance with varying time. The performance of proposed technique is further improved by using a potential based codebook post processing technique which enables the vector quantizer to possess higher correlation preservation property. The proposed post-processing technique leads to a much higher inter index correlation. The algorithm not only accelerates the vector quantization processing, but also results in better ratedistortion performance.The above discussed approach can be used both for teleconferencing videos and to compress images obtained from confocal laser scanning microscopy. The experimental results show that the proposed method gives a higher subjective and objective quality of the reconstructed frames at a better compression ratio. When applied to edge detection filter on reconstructed frames it produces more acceptable results than standard codec. It was observed that the proposed method outperforms the teleconferencing compression standard H.26 1 and LBG based vector quantization compression techniques. KEYWORDSConfocal laser scanning microscopic images (CLSM), codebook, codebook post-processing, rate-distortion, vector quantization.

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“…The neural networks for learning complementary relations turned out to be more flexible than stiff analytical constructions [277]. Level of resolution is now considered to be a factor determining sampling of images which turned out to be important in a model-based vision [278], and in various systems of image segmentation as well [279], More attention is paid to methods of segmentation when occlusion is expected [280], which often allows for obstacle detection by using indirect information [281]. All of this allows for development of new tools of feature extraction [282].…”

Section: Softwarementioning

confidence: 99%

Intelligent systems:

Meystel¹

2002

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Curve segmentation under partial occlusion

Cited by 33 publications

References 16 publications

A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves

A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves

An Efficient Coding Method for Teleconferencing and Medical Image Sequences

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