The index of yarn filament irregularity is one of main indices to measure yarn quality. At present, there are mainly three methods to detect yarn irregularity: length measurement and weight measurement method, instruments measurement method and visual measurement method. These methods each have advantages and disadvantages. With the development of computer image processing technique, taking full advantage of digital image processing technique to overcome disadvantages of other detect methods and improving the level of yarn quality detection has become an important research field and has important significance to enhance yarn quality. The paper proposes a new method that makes use of the computer image processing and analysis technique in yarn filament irregularity analysis.
On the basis of careful market-investigaticin, the present Sernplane method and the essence and the feasibility of testing Seripiane through computer were discussed and analyzed. The cotton yarn image was captured by scanning in this paper, then pre-processing the captured image, including morphological filter、binarization、articulation point connection. And then extracting the post-processing image′s feature values, calculating the discriminant index such as yarn diameter、average diameter、CV value、thin and thick node and so on. At last, the experiment results are analyzed and discussed.
The experiments indicate that using computer image processing method to detect yarn quality has the advantage of veracity、quantified indices and has some applied value to realize yarn automatic detection.
