Junction Analysis

Name: Junction Analysis
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836491013
Price: 59.81 EUR
Availability: InStock

Representing Junctions through Asymmetric Tensor Diffusion

Автор: Shawn Arseneau

Език:

Корици: С меки корици

Издател: VDM Verlag Dr. Mueller E.K.

Наличност: Външен склад

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

Информация за книгата

Автор

Shawn Arseneau

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

160

EAN

9783836491013

ISBN

383649101X

Enbook ID

06861526

Издател

VDM Verlag Dr. Mueller E.K.

Теглоt

222

Размери

152 x 229 x 9

Пълно описание

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

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също