Title :
Research on the edge detection of the cashmere and wool fibre images
Author :
Liu, Yaxia ; Shang, Shuyuan ; Guo, Fei ; Yi, Haiyan
Author_Institution :
Dept. of Inf. Eng., Beijing Inst. of Fashion Technol., Beijing, China
Abstract :
Animal fibres including cashmere and wool are highly valuable industrial products which are often adulterated during marketing and it influences the reputation of our nation. The identification of the cashmere and wool fibres is usually by distinguishing the surface morphological features, the edge detection is an important process to extract the features. The Sobel, Roberts, zero-crossings, Log, Prewitt and Canny methods of edge detection are compared through the experiments, we founded that Canny method is suitable for extracting the edge of the cashmere and wool fibres and the binary image with edge details is obtained.
Keywords :
edge detection; feature extraction; mathematical morphology; production engineering computing; wool; Canny method; Log method; Prewitt method; Roberts method; Sobel method; animal fibre; binary image; cashmere edge detection; feature extraction; morphological feature; wool fibre image; zero crossing method; Animals; Computer vision; Digital images; Feature extraction; Image edge detection; Optical microscopy; Scanning electron microscopy; Surface morphology; Textile industry; Wool; Cashmere and wool; Edge detection; Fibre identify; Image processing;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274040
