Image Processing for Optimization of Thresholding Methods and Determination of Nanofibers Diameter

Polymer fibers have extensive applications in various areas of industrial products such as textiles، composites، medical and etc. The physical properties of a fiber could be directly influenced by its diameter. So، by reducing the diameter of fibers down to nanoscale some unique properties of these materials can be achieved which make them very efficient in different applications. Therefore، development of techniques for accurate automation measure of fiber diameter is greatly desirable. In recent years، image processing is a common method used to measure the diameters. In this study direct tracking and conversion distance are the two methods that are discussed and compared. Since the implementation of the above method for determination of fiber diameter needs a binary image، a new algorithm has been developed to optimize the threshold method. To evaluate the accuracy of the methods، the images are created with definite parameters. Comparison of methods shows that diameter estimate by the direct method is more effective than distance method.