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Hyper-spectral image technology-based detection method for distinguishing rice growing areas

A technology of hyperspectral image and detection method, which is applied in the detection field of distinguishing rice origin based on hyperspectral image technology

Active Publication Date: 2014-12-17
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At the same time, many factors together reflect the difference in origin, and it is difficult to distinguish them only with a single factor.

Method used

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  • Hyper-spectral image technology-based detection method for distinguishing rice growing areas
  • Hyper-spectral image technology-based detection method for distinguishing rice growing areas

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Embodiment

[0039] The hyperspectrometer used in this embodiment consists of a near-infrared spectrometer (Spectral Imaging Co., Ltd., Finland, with a wavelength of 900-2500 nm and a wavelength resolution of 6 nm) and a CCD camera (Xenics Infrared Solutions, Belgium, with a pixel of 320×300).

[0040] figure 1 The schematic diagram of the device for realizing the detection method of distinguishing the origin of rice by hyperspectral image technology in this embodiment includes a camera 1, a camera 2, a lens 3, a light source 4, a rice detection sample 5, an up and down lifting platform 6, a conveyor belt 7 and a computer 8. The entire system is placed in a black airtight iron cabinet to avoid the influence of environmental factors such as light and strong wind during image acquisition.

[0041] The hyperspectral image technology of the present embodiment distinguishes the detection method of the origin of rice, comprising the following steps:

[0042](1) Black-and-white board calibration...

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Abstract

The invention discloses a hyper-spectral image technology-based detection method for distinguishing rice growing areas. The method comprises the following steps: (1) correcting black and white boards; (2) a training process: firstly, collecting a train sample image, correcting the sample image, extracting an interesting area, and extracting characteristics, wherein the characteristics comprise the percentage of chalky rice of rice samples of each growing area, the length-width ratio of each rice grain, and 15 texture eigenvalues, and building a prediction model by using a probabilistic neural network PNN method; and (3) testing to-be-detected rice samples. The detection method disclosed by the invention is fast and stable, and meanwhile, the classification accuracy is effectively improved.

Description

technical field [0001] The invention relates to the reference field of hyperspectral technology, in particular to a detection method for distinguishing rice origin based on hyperspectral image technology. Background technique [0002] Rice is one of the most important food varieties in our country. It is the main staple food for the vast majority of people in our country, and it is also the main export product of our country. Rice is grown in many areas of our country. [0003] Due to the influence of geographical environment and natural environment, rice from different origins has different nutrients and appearance characteristics. The origin of rice is a very important factor affecting its nutritional value and economic value. Due to weather and geographical reasons, the rice produced in the southern region is cooked twice or three times a year, so it cannot absorb and store enough nutrients. The rice produced in Northeast China is cooked only once a year, so it contains...

Claims

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Application Information

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IPC IPC(8): G01N21/25
Inventor 孙大文王璐曾新安刘丹
Owner SOUTH CHINA UNIV OF TECH
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