Red date defect identification and classification method and device based on image processing
A classification method and defect recognition technology, applied in the field of image recognition, can solve problems such as low efficiency of red jujube quality classification, and achieve the effects of eliminating adverse effects, running fast, and improving classification efficiency.
Pending Publication Date: 2021-10-19
CHINA AGRI UNIV
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[0005] The present invention provides a jujube defect identification and classification method and device based on image processing, which are used to solve the defect of low jujube quality classification efficiency in the prior art, and realize fast, efficient and accurate classification of jujube quality
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[0065] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0066] Combine below Figure 1-Figure 3 The method and device for identifying and classifying jujube defects based on image processing of the present invention are described.
[0067] figure 1 It is a schematic flow chart of the jujube defect recognition and classification method based on image processing provided by the embodiment of the present invention; figure 2 yes figure 1 In the m...
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The invention provides a red date defect identification and classification method and device based on image processing. A red date image is enhanced through histogram space conversion and space reconstruction, and the obtained interval image eliminates the adverse effects of non-uniform illumination distribution and noise on image processing; Through binaryzation, region filling, binary flipping and mask operation processing, the interval image is effectively extracted from a complex background; a color feature value, a shape feature value and a texture feature value can be accurately extracted by enhancing the defect area; and finally, quickly classifying the defects of the red dates through a machine learning model. The algorithm is high in running speed, classification of various different defects can be achieved, and the classification efficiency of the red date quality is effectively improved.
Description
technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and device for identifying and classifying jujube defects based on image processing. Background technique [0002] China is the world's largest jujube producer and consumer. According to official data, China's jujube planting area and output account for 98% of the world, and in 2020, China's jujube output will reach 7.332 million tons. Although China's jujube industry has a large scale, the overall economic benefits are not high due to the decline in quality, low processing level, and insufficient drying and fresh-keeping technology. In terms of jujube quality sorting, more than 90% of jujubes are manually sorted out of defective jujubes from good jujubes, which is labor-intensive and costly, and long-term fatigue of workers will also lead to a series of problems such as a decrease in efficiency. [0003] During the planting process of red dates, due to facto...
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IPC IPC(8): G06K9/62G06T7/00G06T7/136G06T7/90G06T5/40G06T5/50G06N20/00
CPCG06T5/40G06T5/50G06T7/90G06T7/136G06T7/0002G06N20/00G06T2207/20032G06T2207/20081G06F18/24G06F18/214Y02P90/30
Inventor 胡金有邹宇张露巍郭祥云张小栓孔垂宇张定鑫
Owner CHINA AGRI UNIV