Hericium erinaceus nondestructive test grading method based on machine vision

A computer vision and non-destructive testing technology, applied in computer parts, computing, image analysis, etc., can solve the problems of scattered, little research, and no Hericium erinaceus detection method, and achieve the effect of accurate detection and avoidance of damage

Active Publication Date: 2018-01-09
NANJING XIAOZHUANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, relevant research on edible fungi is few and scattered.
As far as the applicant knows, there is no detection method for Hericium erinaceus based on computer vision

Method used

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  • Hericium erinaceus nondestructive test grading method based on machine vision
  • Hericium erinaceus nondestructive test grading method based on machine vision
  • Hericium erinaceus nondestructive test grading method based on machine vision

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Embodiment 1

[0018] The specific steps of the computer vision-based non-destructive testing and grading method for Hericium erinaceus in this embodiment are as follows:

[0019] The first step, feature parameter extraction - select a group of Hericium erinaceus with no spots, no disease, and no damage, clean up the dirt on its surface as a training sample, and use a SLR camera to take a true-color image of Hericium erinaceus cap overlooking (that is, 24-bit RGB color image), each pixel value of the image is divided into three primary color components of R, G, and B, and each component has 256 gray values.

[0020] after

[0021] 1. Extract feature factor preprocessing (see figure 1 — Figure 4 )

[0022] Grayscale - convert the ingested true-color image to a grayscale image;

[0023] Noise reduction - mean filtering or median filtering removes noise in the image, making it a smooth image;

[0024] Binarization - set the gray value of the pixel on the smooth image to 0, 255, making it ...

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Abstract

The invention relates to a hericium erinaceus nondestructive test grading method and belongs to the technical field of food inspection. The method includes steps of: extracting a characteristic parameter from a Hericium erinaceus image, establishing a corresponding discrimination function, and performing hericium erinaceus nondestructive test grading. Compared with artificial grading, the method can not only realize rapid and accurate Hericium erinaceus detection, but also completely avoids damage, improves and quantifies an existing grading index, namely, takes three good indexes including ofthe color, the size and the shape of the Hericium erinaceus, as grading indexes of the Hericium erinaceus, and provides a scientific grading standard for Hericium erinaceus industrialized productionprocess.

Description

technical field [0001] The invention relates to a nondestructive testing and grading method for edible fungi, in particular to a nondestructive testing and grading method for Hericium erinaceus, belonging to the technical field of food inspection. Background technique [0002] Hericium erinaceus, also known as Hericium erinaceus, monkey mushroom, hedgehog fungus, is not only fresh and tender, mellow and delicious, but also has high nutritional value and medicinal value. With the expansion of the consumer market and the rapid development of the social economy, the production mode of Hericium erinaceus is gradually factory-like. [0003] Factory production not only improves the quality and output of Hericium erinaceus, but also reduces labor costs, allowing round-the-clock production. However, the quality inspection of Hericium erinaceus is still at the primitive stage of artificial sensory inspection, not only the subjective evaluation is not only inefficient, but also has l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/90G06K9/46
Inventor 张伟张李阳王海鸥陈守江霍光明
Owner NANJING XIAOZHUANG UNIV
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