By Topic

Detection of foreign fibers in cotton on the basis of wavelet

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chengliang Zhang ; School of Mechanical Engineering, Shandong University, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, Jinan, Shandong Province, China ; Xianying Feng ; Lei Li ; Yaqing Song

Foreign fibers in cotton have seriously effect on cotton production the quality of cotton products, while image processing algorithms based on machine vision offer an effective measure to deal with the problem. Wavelet is introduced to detecting foreign fibers in cotton as its great potential and excellent feature in signal and image processing. In this paper, the contaminants recognition process is divided into three steps, namely transformation of picture, image processing based on wavelet and image post-processing. On the first step, the format of color image is converted to index from RGB, which is the precondition of wavelet image analysis. A piecewise linear transform model is proposed to enhance the image. Secondly, the best tree analysis structure is calculated contrasting to the initial one. Through optimizing the entropy value, wavelet packet 2-D compresses off about 90% of the original coefficients by deleting the redundant information, while saving 99.13% energy. And image is reconstituted basis on the adjusted wavelet coefficients. In the last part, wiener adaptive filter is employed to smoothing the picture, and then we dichotomize the images after such series of treatments. The effect of the image processing indicated that wavelet packet is an effective method in the foreign fibers inspection combined with some other measures.

Published in:

Signal Processing Systems (ICSPS), 2010 2nd International Conference on  (Volume:2 )

Date of Conference:

5-7 July 2010