Feature Extraction of Scale Pattern in Animal Textile Fibers
نویسندگان
چکیده
Animal fibers have variety in their longitudinal sections. The main difference of the longitudinal section of these fibers is the geometry and dimension of scale patterns, which with attention to one of the physical fiber detection, one can inspect longitudinal section of fiber images, which determine the fiber characteristics. The method of the determination is image processing which extracting the closed contours and then the chain code algorithm inspected characteristic of fibers. Regularity or irregularity of animal scale patterns can be recognized by feature extraction. As result it can be accompanied with others such as scale length, scale area, etc. for classification of fibers.
منابع مشابه
Utilisation possibilities of textile waste for the production of medium density fiberboard
Background and Objective: Nowadays, in metropolitan areas, principled and hygienic waste management is very important. Recycling is one of the most appropriate options in waste management. Hereof, the present study was aimed to investigate the possibility of using textile waste fibers in the manufacture of Medium Density Fiberboard (MDF). Materials and Methods: This experimental study was perf...
متن کاملInvestigating Image Enhancement in Pseudo-Foreign Fiber Detection
The detection of pseudo-foreign fibers in cotton based on AVI(Automatic Visual Inspection) is crucial to improve the accuracy of statistics and classification of foreign fibers. To meet the requirement of textile factories, a new platform is introduced in which cotton bulks are floating with relative high speed of six meters per second, and the throughput of detected lint could be above 20kg pe...
متن کاملArtificial neural networks for automated quality control of textile seams
We present a method for an automated quality control of textile seams, which is aimed to establish a standardized quality measure and to lower costs in manufacturing. The system consists of a suitable image acquisition setup, an algorithm for locating the seam, a feature extraction stage and a neural network of the self-organizing map type for feature classification. A procedure to select an op...
متن کاملThe Impact of Financial Crisis on Textile Trade Pattern between China and ASEAN
China and ASEAN have been maintaining a relationship both cooperative and competitive in the textile trade. Due to its labor intensive feature and high dependence on foreign trade , the textile trade has received much attention after the 2008 financial crisis. The customs data (classified by the HS code) from year 2006-2009 is employed to research the impact of the crisis on the trade pattern o...
متن کاملA review on EEG based brain computer interface systems feature extraction methods
The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004