Profiled fiber automatic recognition method based on scale invariability and support vector machine classification

Abstract

The invention relates to a profiled fiber automatic recognition method based on scale invariant feature extraction and vector machine classification. The method is characterized by comprising the following steps: (1) inputting the cross-section micro-sample images of a profiled fiber to be recognized and pre-processing the images; (2) carrying out binary processing of the pre-processed images to obtain a binary image of the fiber; (3) extracting the fiber object in the binary image by a separation algorithm to obtain the independent image of each fiber in the binary image; (4) extracting the eigenvector of the existing profiled fiber by an SIFT (scale invariant feature transform) algorithm to serve as the input, and training by an SVM (support vector machine) classification algorithm; and (5) using the independent image obtained in the step (3) as the input to determine the type of profiled fiber, to which the fiber on each independent image belongs, by the classification algorithm trained in the step (4). By utilizing the method, automatic classification and recognition of profiled fibers in complex background, tilting fibers, deformed fibers, broken fibers, fibers in illumination changing environment and the like can be achieved, and the problem of poor effectiveness of image feature extraction is solved.

Description

An automatic identification method of special-shaped fibers based on scale invariance and vector machine classification technical field The invention relates to an automatic identification method for special-shaped fibers, which solves the problem of insufficient effectiveness of image feature extraction, and belongs to the technical field of image processing. Background technique With the improvement of living standards and the advancement of science and technology, people have higher and higher requirements for textiles, and traditional cotton and linen fibers can no longer meet people's needs. In the mid-1970s, the emergence of special-shaped fibers greatly enriched the fiber varieties and provided abundant raw materials for the development of new clothing fabrics and new textile products. In recent years, special-shaped fiber products have developed in the direction of special-shaped composite, hollow and multi-functional, which not only improves the warmth and bulkin...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to provide an automatic recognition method for special-shaped fibers based on scale-invariant feature extraction and support vector machine classification and recognition, which can automatically classify and recognize complex backgrounds, tilts, deformations, fractures, light changes, etc., and solve image problems. Insufficient feature extraction effectiveness

Images