Lossless grading method for quality of crisp apple chips

An apple crisp, quality technology, applied in the direction of analyzing materials, material analysis by optical means, measuring devices, etc., can solve the problems that have not yet been reported in research, and achieve the effects of improving classification efficiency, rapid detection, and reducing complexity

Active Publication Date: 2017-01-04
NANJING AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the research on fruit and vegetable quality detection and grading using computer vision technology is relatively mature at home and abroad, there are no reports on the application of computer vision systems to deep-processed products such as fruit and vegetable chips.

Method used

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  • Lossless grading method for quality of crisp apple chips
  • Lossless grading method for quality of crisp apple chips
  • Lossless grading method for quality of crisp apple chips

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0066] Such as figure 1 Shown, a kind of method for grading apple chips based on computer vision, the computer vision system adopted is made of computer, camera, light source, support and base assembly;

[0067] The computer model is Dell Optiplex 7010, 3.4GHz, memory 8G, graphics card 256M GeForce GT240;

[0068] Sony camera model NEX-6, automatic white balance, aperture f / 9.0, exposure time 1 / 50s, exposure compensation -2.0, ISO 100, focal length 30mm;

[0069] The light source consists of two LED lights, each with a power of 12W and a length of 33cm, and the brightness can be adjusted manually;

[0070] The base is composed of a 30cm×30cm×1.1cm metal plate, and there are screw holes on the base for adjusting and fixing the bracket;

[0071] The brackets are 6 35cm stainless steel brackets with threads on one end and screw holes on the other end. ...

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Abstract

The invention relates to a lossless grading method for quality of crisp apple chips through the crisp apple chip external quality grading standard and the computer vision technique, and belongs to the novel crisp apple chip quality lossless grading technology. Crisp chip images are acquired through a computer vision device and processed, size, shape, color and grain feature parameters are extracted, and the feature parameters are optimized. The mode recognition technology is utilized for analyzing various grades of crisp apple chip image features, and therefore lossless grading of the crisp apple chips is achieved. The method is easy and convenient to operate, fast in detection and accurate in grading, and the defects that a traditional grading mode consumes time and labor, and is high in cost, likely to be influenced by subjective factors and large in mechanical damage are overcome.

Description

technical field [0001] The invention relates to five-level and three-level external quality grading standards for apple crisps and a nondestructive grading method for apple crisps based on computer vision technology, belonging to the technical field of nondestructive testing for storage and processing of agricultural products. Background technique [0002] Apple chips are one of the deeply processed products of apples, which rarely appear in the domestic market. It maintains the nutritional content and fresh flavor of apples, has a crisp taste, full shape, and uniform puffing, and can meet consumers' needs for crisp food that is nutritious, convenient, natural, low in fat, and high in dietary fiber. Effective grading of apple crisps is the first hurdle to improve the quality of apple crisps. At present, my country has not issued the external quality grade specification standard for apple crisps. [0003] At present, the traditional methods of fruit and vegetable quality gr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84
CPCG01N21/84G01N2021/8466
Inventor 潘磊庆魏康丽屠康王振杰孙柯肖慧赵保民陈飞
Owner NANJING AGRICULTURAL UNIVERSITY
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