A method and system for binarizing barcodes based on clustering

Abstract

The invention discloses a barcode binarization method and system based on clustering, which mainly solves the problem that the accuracy of binarization of the image is reduced due to noise pollution during the decoding process of the barcode image. The method includes: obtaining a color image; performing grayscale conversion on the color image to obtain a grayscale image; performing binarization processing on the grayscale image, which further includes: determining the value of the number of clusters, initializing the cluster center and Set a small real number, perform mean filtering on the grayscale image, update the cluster center and membership function, and determine whether the square of the difference between the new cluster center and the old cluster center is less than the set If it is a real number, otherwise continue to perform mean filtering on the grayscale image; finally obtain the result of binarization of the grayscale image. By implementing the embodiment of the present invention, the barcode image is sequentially subjected to grayscale conversion and fuzzy clustering method to perform binarization processing, so that a high-accuracy image binarization result can be obtained.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a clustering-based barcode binarization method and system. Background technique [0002] With the increasing development of science and technology today, barcodes have become a commodity transaction language. Commodities on the market will be identified by different types of barcodes. At the same time, they are widely used in mobile payment, logistics and other fields. The more and more developed and perfect bar code technology has promoted the development of e-commerce and improved the efficiency of production and operation. [0003] With the rapid development of computer networks and the application of smart phones and other equipment, by taking pictures of barcodes and using the network, you can easily understand the information of commodities, identify the authenticity of commodities, and quickly pay for goods in the process of commodity transactions. Wait. Therefo...

AI Technical Summary

Problems solved by technology

Although these image processing methods can improve the impact of image quality, uneven illumination, image blur, etc. on barcode recognition, but in the process of decoding barcodes, the pictures captured by the camera are often polluted by noise. During binarization, due to the existence of noise, misjudgment often occurs, which affects the decoding of subsequent barcodes

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