A flammulina velutipes head sorting recognition method based on LBP features and deep learning

A deep learning and recognition method technology, applied in the fields of computer vision and image processing, can solve the problems of being easily affected by human subjective emotions, low efficiency of manual classification, low accuracy, etc., to avoid subjectivity and individual differences, improve Accuracy, Labor Reduction Effect

Active Publication Date: 2019-05-28
HUAQIAO UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

At present, the classification of Flammulina velutipes is mainly based on manual classification, the efficiency of manual classification is

Method used

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  • A flammulina velutipes head sorting recognition method based on LBP features and deep learning
  • A flammulina velutipes head sorting recognition method based on LBP features and deep learning
  • A flammulina velutipes head sorting recognition method based on LBP features and deep learning

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Embodiment Construction

[0054] In order to make the present invention more comprehensible, a preferred embodiment is now described in detail with accompanying drawings as follows.

[0055] Such as figure 1 Shown, a kind of Flammulina velutipes mushroom head sorting recognition method based on LBP feature and deep learning of the present invention comprises the following steps:

[0056] Step 1, collect the head pictures of Flammulina velutipes to make samples, and divide all the head pictures of Flammulina velutipes into training set and test set;

[0057] In this instance, specifically:

[0058] Step 11. Build a machine vision system in the Flammulina velutipes factory, and use a gray dot color camera model FL3-GE-03S1M-C to take pictures. The pixel size of the camera is 1024×1280. When collecting pictures, you need to build a machine vision system in advance , including the selection of the camera, the selection of the lens, the placement of the light source, etc., do not let the camera shake when...

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Abstract

The invention provides a flammulina velutipes head sorting recognition method based on LBP features and deep learning, and the method comprises the steps of 1, collecting the flammulina velutipes headpictures, and dividing all the flammulina velutipes head pictures into a training set and a test set; 2, changing the flammulina velutipes head pictures in the training set, and storing the flammulina velutipes head pictures before change and the changed flammulina velutipes head pictures in the training set as training data; 3, extracting an LBP feature a of the training data; 4, extracting a depth feature b in the training data by using the convolutional neural network; 5, fusing the LBP feature a and the depth feature b after dimension reduction to obtain a fusion feature c; 6, inputting the fusion feature c into a classifier for classification to obtain a trained model; and 7, inputting the flammulina velutipes head picture in the test set into the trained model to obtain a predictedvalue, and comparing the predicted value with a real value to calculate the accuracy. According to the invention, the accuracy and the efficiency of the flammulina velutipes head classification are improved.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a method for sorting and identifying Flammulina velutipes heads based on LBP features and deep learning. Background technique [0002] Computer vision is just using machines instead of human eyes to do some recognition, and image processing is a process of processing bad images into good ones. Only by putting the image processed image into the model can more accurate results be obtained. [0003] Traditional image classification generally first extracts features manually according to the characteristics of the image (for example, face recognition can extract HOG, SIFT features, etc.), then use SVM classifier to classify, and finally get the result. In recent years, with the deepening of deep learning research, it can be said that deep learning models are a powerful tool for image classification problems. Applying deep learning technology to solve the problem...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04
Inventor 郑力新谢炜芳郑凡星张瑶
Owner HUAQIAO UNIVERSITY
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