Abstract — This paper presents the use of the wavelet transform to extract fiber surface texture features for classifying cashmere and superfine merino wool fibers. Extracting features from brightness variations caused by the cuticular scale height, shape and interval provides an effective way for characterizing different animal fibers and subsequently classifying them. This may enable the development of a completely automated and objective system for animal fiber identification. Index Terms — Cashmere fibers, image analysis, Merin
textWrinkling caused in wearing and laundry procedures is one of the most important performance prop...
This paper describes a potentially faster and cheaper method of determining fibre scale frequencies....
This book reports on recent applications in biology and geoscience. Among them we mention the applic...
This paper presents the use of the wavelet transform to extract fiber surface texture features for c...
This paper presents the use of the wavelet transform to extract fibre surface texture features for c...
Wool and mohair fibres are both animal-based fibres and having circular scales on their microscopic ...
Fiber identification has been a very important task in many industries such as wool growing, textile...
Abstract Recognizing cashmere and wool fibers has been a challenging problem in the textile industry...
Animal fibers have variety in their longitudinal sections. The main difference of the longitudinal s...
Merino lambs' wool fiber has a unique chemical structure that gives the wool many unique properties ...
Artificial neural networks (ANN) are increasingly used to solve many problems related to pattern rec...
Fibers are raw materials used for manufacturing yarns and fabrics, and their properties are closely ...
Image processing and pattern recognition have been successfully applied in many textile related area...
Identification of fibres, particularly in blends, requires knowledge of their characteristics. Indiv...
AATCC;INDA;TAPPI;The Fiber Society2010 Spring Conference of the Fiber Society -- 12 May 2010 through...
textWrinkling caused in wearing and laundry procedures is one of the most important performance prop...
This paper describes a potentially faster and cheaper method of determining fibre scale frequencies....
This book reports on recent applications in biology and geoscience. Among them we mention the applic...
This paper presents the use of the wavelet transform to extract fiber surface texture features for c...
This paper presents the use of the wavelet transform to extract fibre surface texture features for c...
Wool and mohair fibres are both animal-based fibres and having circular scales on their microscopic ...
Fiber identification has been a very important task in many industries such as wool growing, textile...
Abstract Recognizing cashmere and wool fibers has been a challenging problem in the textile industry...
Animal fibers have variety in their longitudinal sections. The main difference of the longitudinal s...
Merino lambs' wool fiber has a unique chemical structure that gives the wool many unique properties ...
Artificial neural networks (ANN) are increasingly used to solve many problems related to pattern rec...
Fibers are raw materials used for manufacturing yarns and fabrics, and their properties are closely ...
Image processing and pattern recognition have been successfully applied in many textile related area...
Identification of fibres, particularly in blends, requires knowledge of their characteristics. Indiv...
AATCC;INDA;TAPPI;The Fiber Society2010 Spring Conference of the Fiber Society -- 12 May 2010 through...
textWrinkling caused in wearing and laundry procedures is one of the most important performance prop...
This paper describes a potentially faster and cheaper method of determining fibre scale frequencies....
This book reports on recent applications in biology and geoscience. Among them we mention the applic...