Articles liés à Texture Analysis Using Fractal, Wavelet & Cubic...

Texture Analysis Using Fractal, Wavelet & Cubic Spline Representations - Couverture souple

Al-Momen, Saad; George, Loay E.; Naji, Raid K.

 
9783659748974: Texture Analysis Using Fractal, Wavelet & Cubic Spline Representations
Couverture souple
ISBN 10 : 3659748978 ISBN 13 : 9783659748974
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

Texture classification is the process to classify different textures from the given images. It is implemented in a large variety of real world problems involving specific textures of different objects. Some of the real world applications that involve textured objects of surfaces include rock classification, wood species recognition, face detection, fabric classification, geographical landscape segmentation, etc. All these applications allowed the target subjects to be viewed as a specific type of texture and hence, they can be solved using texture classification techniques. Due to this variety of applications, there is a variety in the texture types and every type has to be treated carefully according to its significant properties. Feature extraction is an important process for texture classification. This work introduces several sets of feature according to the type of texture. Three types of textures (datasets) were studied; dataset#1 consists of gray texture with directional properties where the woven fabric texture is taken as an example, dataset#2 consists of gray texture have no dominant directional properties, while dataset#3 consists of color texture taken from skin tissues

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Texture classification is the process to classify different textures from the given images. It is implemented in a large variety of real world problems involving specific textures of different objects. Some of the real world applications that involve textured objects of surfaces include rock classification, wood species recognition, face detection, fabric classification, geographical landscape segmentation, etc. All these applications allowed the target subjects to be viewed as a specific type of texture and hence, they can be solved using texture classification techniques. Due to this variety of applications, there is a variety in the texture types and every type has to be treated carefully according to its significant properties. Feature extraction is an important process for texture classification. This work introduces several sets of feature according to the type of texture. Three types of textures (datasets) were studied; dataset#1 consists of gray texture with directional properties where the woven fabric texture is taken as an example, dataset#2 consists of gray texture have no dominant directional properties, while dataset#3 consists of color texture taken from skin tissues

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659748978
ISBN 13 
9783659748974
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
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