Potato scab detection method

A detection method, potato technology, applied in image data processing, instruments, character and pattern recognition, etc., can solve problems such as scab recognition

Active Publication Date: 2019-07-23
CHINESE ACAD OF AGRI MECHANIZATION SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a potato scab detection method for identifying scab diseased potatoes in the potato grading process.

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  • Potato scab detection method

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Embodiment Construction

[0056] Below in conjunction with accompanying drawing, structural principle and working principle of the present invention are specifically described:

[0057] see figure 1 , figure 1 It is a flow chart of potato scab image recognition according to an embodiment of the present invention. The potato scab detection method of the present invention comprises the steps:

[0058] Step S100, using the training data set to establish a regression relationship model of the Hough circle area, marked scab area, and real scab area of ​​potato scab, and obtain the screening threshold of the marked scab area and the real scab area;

[0059] Step S200, acquiring and reading the potato image, performing cutting and filtering preprocessing on the potato image, and obtaining the region of interest by using boundary extraction, boundary connection and mask segmentation;

[0060] Step S300, extracting the Hough circle of the region of interest, obtaining the area of ​​the Hough circle, and extr...

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Abstract

A potato scab detection method comprises the following steps: establishing a regression relation model of the Hough circle area of potato scab, the marked scab area and the real scab area by utilizinga training data set, and obtaining a screening threshold value for marking the scab area and the real scab area; acquiring and reading a to-be-detected potato image, and obtaining a region of interest by utilizing boundary extraction, boundary communication and mask segmentation; extracting a Hough circle of the region of interest, solving the area of the Hough circle, and extracting a feature matrix of the region of interest by utilizing a Gaussian Laplace operator; carrying out K-means clustering on the feature matrix to extract the features of the feature matrix, and obtaining the markedscab area of the to-be-detected potato; and judging whether the marked scab area of the to-be-detected potato is a scab type or not according to the regression relation model, calculating a regressionreference area of the to-be-detected potato, comparing the regression reference area with the screening threshold value, and judging whether the to-be-detected potato is a scab potato or not.

Description

technical field [0001] The invention relates to a detection technology for the external quality of agricultural by-products, in particular to a potato scab detection method based on regression analysis for image recognition of potato external scabs. Background technique [0002] As the fourth largest economic crop in the world, potato is widely planted, and the planting area in 2014 was 19.09 million hectares. China is a major potato producer, with a planting area of ​​5.64 million hectares in 2014, accounting for 29% of the global planting area and 1 / 4 of the output. Compared with staple foods such as wheat, rice, and corn per unit area, potatoes produce more dry matter and protein quality, and countries such as Europe and the United States have already used potatoes as one of the main food crops. my country put forward the potato staple food strategy in 2014. With the implementation of the strategy, the demand for potato quality testing methods and equipment is more urgen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06K9/62
CPCG06T7/0002G06T7/62G06T2207/20081G06T2207/20104G06F18/23213
Inventor 祁雁楠吕程序毛文华李佳王烨
Owner CHINESE ACAD OF AGRI MECHANIZATION SCI
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