Apple grading method and system based on machine vision
A technology of machine vision and grading method, applied in neural learning methods, instruments, genetic models, etc., can solve the problems of low grading efficiency and inaccurate apple grading, and achieve improved grading rate, high grading accuracy and good grading effect Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0056] In one or more implementations, a method for grading apples based on machine vision is disclosed, such as figure 1 shown, including the following steps:
[0057] (1) Collect a set number of sample images and construct a sample image set;
[0058] (2) Collect the image of the sample to be tested, and perform image preprocessing;
[0059] (3) feature extraction of the sample to be tested; extract the color feature, fruit shape feature, fruit diameter feature and surface defect feature of the sample image to be tested respectively;
[0060] (4) Formulate grading standards, use genetic algorithm and BP neural network to establish the classification model of sample features and grades; use the sample image set to train the classification model;
[0061] (5) Input the color feature, fruit shape feature, fruit diameter feature and surface defect feature of the sample image to be tested into the post-training classification model, and output the grade classification of the sa...
Embodiment 2
[0100] In one or more implementations, a machine vision-based apple grading system is disclosed, comprising:
[0101] A module for collecting a set number of sample images and constructing a sample image set;
[0102] A module for collecting images of samples to be tested and performing image preprocessing;
[0103] It is used for feature extraction of the sample to be tested; a module for separately extracting the color features, fruit shape features, fruit diameter features and surface defect features of the sample image to be tested;
[0104] A module for establishing a classification model of sample characteristics and grades using genetic algorithms and BP neural networks;
[0105] A module for inputting the extracted color features, fruit shape features, fruit diameter features and surface defect features of the image of the sample to be tested into the classification model, and outputting the grade classification of the sample to be tested.
Embodiment 3
[0107] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program realizes the apple grading method based on machine vision in the first embodiment. For the sake of brevity, details are not repeated here.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com