Cashmere and wool fiber identification method based on local features and a word bag model

A wool fiber and local feature technology, applied in character and pattern recognition, acquisition/recognition of microscopic objects, computer parts, etc., can solve problems such as high error rate, low work efficiency, and difficulty in automatic recognition, achieving high accuracy , easy-to-operate effects
CN109583307AInactive Publication Date: 2019-04-05DONGHUA UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
DONGHUA UNIV
Publication Date
2019-04-05
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a cashmere and wool fiber identification method based on local characteristics and a word bag model, comprising the following steps: firstly, carrying out sample preparation andimage acquisition, and then preprocessing the image; Extracting local features from the fiber image, wherein the local features comprise image feature point detection, key point positioning, key point direction determination and key point description; Constructing a visual dictionary and image description, including generation of visual words and the visual dictionary, image description and spatial pyramid matching; And finally, generating a classification recognizer for performing binary classification recognition on the cashmere and wool fiber micrographs. The method provided by the invention overcomes the defects in the prior art, and can automatically extract and identify the morphological characteristics of the fiber surface, thereby objectively, accurately and quickly identifying the cashmere and wool fibers, and the method is high in identification accuracy and easy to operate.
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Description

technical field

[0001] The invention relates to a cashmere wool fiber identification method, in particular to a cashmere wool fiber identification method based on local features and word bag models, which is mainly used to solve the identification problem of two similar animal fibers, cashmere and sheep wool, and belongs to computer The field of pattern recognition techniques in science. Background technique

[0002] Cashmere and sheep wool are two very similar animal fibers. How to identify them has always been a difficult problem in this field.

[0003] Observing the surface morphology of animal fibers through an optical microscope and identifying their species is the main method for identifying commercial cashmere wool fibers. This method mainly relies on the subjective experience of technicians, has a high error rate, low work efficiency, and is difficult to be used in the automatic identification process.

[0004] Therefore, how to automatically extract and identify ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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