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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

Inactive Publication Date: 2019-04-05
DONGHUA UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

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

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Embodiment Construction

[0060] Below in conjunction with specific embodiment, further illustrate the present invention.

[0061] figure 1 The schematic diagram of the cashmere wool fiber recognition method based on the local features and the bag of words model provided in this embodiment, the cashmere wool fiber recognition method based on the local features and the bag of words model includes the following steps:

[0062] Step 1. Sample preparation.

[0063] Separate samples of cashmere fiber and wool fiber were made. The production process is as follows: use a Hastelloy slicer to cut cashmere fibers or wool fibers to about 0.5 mm, place them on a glass slide, add an appropriate amount of liquid paraffin, stir with an analysis needle to make it evenly distributed, cover the glass slide, and complete the sample preparation.

[0064] Step 2: Image acquisition.

[0065] Place the sample under an optical microscope, magnify it 500 times, and take a microscopic image of a single fiber after focusing m...

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PUM

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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.

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

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06K9/40
CPCG06V20/69G06V20/695G06V10/30G06F18/23213G06F18/214
Inventor 钟跃崎路凯
Owner DONGHUA UNIV
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