A taxonomy for texture description and identification
著者
書誌事項
A taxonomy for texture description and identification
（Springer series in perception engineering）
Springer-Verlag, c1990
- : us
- : gw
大学図書館所蔵 件 / 全19件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Bibliography: p. [185]-194
Includes index
内容説明・目次
- 巻冊次
-
: us ISBN 9780387973029
内容説明
A central issue in computer vision is the problem of signal to symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic description scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical measures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing.
The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications.
目次
Contents: Introduction.- Computing Oriented Texture Fields.- The Analysis of Oriented Textures through Phase Portraits.- Analyzing Strongly Ordered Textures.- Disordered Textures.- Compositional Textures.- Conclusion.- Rotation Invariance of D and q.- Region Refinement.- Preparation of the Manuscript.- Bibliography.- Index.- Permissions.
- 巻冊次
-
: gw ISBN 9783540973027
内容説明
A central issue in computer vision is the problem of signal-to-symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic description scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical measures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing.
The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications.
目次
Contents: Introduction.- Computing Oriented Texture Fields.- The Analysis of Oriented Textures through Phase Portraits.- Analyzing Strongly Ordered Textures.- Disordered Textures.- Compositional Textures.- Conclusion.- Rotation Invariance of D and q.- Region Refinement.- Preparation of the Manuscript.- Bibliography.- Index.- Permissions.
「Nielsen BookData」 より