A Tire Tread Pattern Detection Based on Fuzzy Logic

Michalíková, Alžbeta; Vagac, Michal

doi:10.1007/978-3-319-26154-6_29

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…The classification of the set of images into the seven classes will be presented in this paper. The next procedure with the data is to find the ellipses which make a boundaries of tire print (see [3,5]), take the rectangle with sample of print and after some modification adding it into our database (see Figure 2). This database is created for comparing actually known tire prints with print found in the crime scene.…”

Section: Preparation Of the Datamentioning

confidence: 99%

Intuitionistic fuzzy sets and their use in image classification

Michalíková¹

2019

NIFS

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In this paper, the problem of classification of images is discussed. Our specific problem is that we need to classify tire images into selected classes which are characterized by some patterns. The theory of intuitionistic fuzzy sets is used for classification of the images. In the first step is showed the way how this type of images could be represented as the vectors. Then the membership and non-membership value to each coordinate are calculated and finally the value of similarity measure between patterns and specific image is computed. Classification is performed with respect to the valued of similarity measure.

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Section: Preparation Of the Datamentioning

confidence: 99%

Intuitionistic fuzzy sets and their use in image classification

Michalíková¹

2019

NIFS

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“…The application of similarity theory in tire patterns is mainly in the fuzzy similarity retrieval of the pattern image. Michalíková and Vagač 18 presented a method of automatically detecting tire tread patterns from a database in order to determine the ellipticity of tire tread samples. Kalinkin et al 19 presented an algorithm for analyzing a video image of tread pattern traces.…”

Section: Introductionmentioning

confidence: 99%

A feature-based method for tire pattern similarity detection

Dong

Ding

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Innovation and inheritability are the key requirements of tire pattern design. This article call attention to the similarity detection of tire patterns. A similarity detection method based on tire pattern features is proposed. Through in-depth analysis of the pattern structure, the tire pattern features are separated into shape and texture features. Shape features describe the arrangement rules between tire grooves and pattern blocks. On the other hand, texture features define each pattern block’s surface characteristics, groove depth, groove width, and other characteristics. The tire pattern raw data is firstly analyzed through digital image processing technology. Then, shape and texture features were recognized and separated using edge extraction and co-occurrence matrix methods, respectively. The tire pattern photos are then realized, measured, and detected for similarity following the rules of similarity theory. Experiments were designed to fit the framework of the given detection method. The test results prove that the proposed method can detect tire pattern similarity quickly and conveniently.

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Tire Imprint Identification and Classification using VGG19

Girish,

Priyanka

2024

Lecture Notes in Networks and Systems

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A Tire Tread Pattern Detection Based on Fuzzy Logic

Cited by 6 publications

References 10 publications

Intuitionistic fuzzy sets and their use in image classification

Intuitionistic fuzzy sets and their use in image classification

A feature-based method for tire pattern similarity detection

Tire Imprint Identification and Classification using VGG19

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