Junction Analysis

Name: Junction Analysis
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836491013
Price: 253.51 PLN
Availability: InStock

Representing Junctions through Asymmetric Tensor Diffusion

Autor: Shawn Arseneau

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Mueller E.K.

Dostępność: Dostępna u dostawcy

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253.51 zł

Gradient-based junctions form key features in such applications as object classification, motion seg...

Informacje o książce

Autor

Shawn Arseneau

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2008

strony

160

EAN

9783836491013

ISBN

383649101X

Enbook ID

06861526

Wydawca

VDM Verlag Dr. Mueller E.K.

Waga

222

Wymiary

152 x 229 x 9

Pełny opis

Gradient-based junctions form key features in such applications as object classification, motion segmentation, and image enhancement. Asymmetric junctions arise from the merging of an odd number of contour end-points such as at a Y-junction. Without an asymmetric representation of such a structure, it will be identified in the same category as X-junctions. This has severe consequences when distinguishing between features in object classification, discerning occlusion from disocclusion in motion segmentation and in properly modeling smoothing boundaries in image enhancement. A novel method is proposed that results in an improved approximation of the underlying contours, through the use of asymmetric junctions. The method combines the ability to represent asymmetric information, as do a number of convolution methods, with the robustness of local support obtained from diffusion schemes. This work investigates several different design paradigms of the asymmetric tensor diffusion algorithm. The proposed approach proved superior to existing techniques by properly accounting for asymmetric junctions over a wide range of scenarios.

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Junction Analysis

Representing Junctions through Asymmetric Tensor Diffusion

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Pełny opis

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