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- W2393665810 abstract "With the increasing pace of China's reform and opening policies,the pear and other agricultural products deep processing is of great significance for enhancing the quality of exports,increasing the export quantum and export earnings.Practice proves that using the digital image processing technology to classify the fruit appearance quality has the features of fast speed and high accuracy,which is widely used in the processes of classifying a variety of fruits and vegetables.At present,the domestic study of the pear appearance classification is relatively rare.It is hard to detect the deflect accuracy owing to the variety of surface colors,spots,rust and other interference on the pear surface.This paper presents a new defect extraction method based on the color image so as to obtain high accuracy and strong Lu Stick effects in various situations of pear surface defect extraction operation.In conclusion,the author carried out some tests on the method and achieved positive results." @default.
- W2393665810 created "2016-06-24" @default.
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- W2393665810 date "2010-01-01" @default.
- W2393665810 modified "2023-09-23" @default.
- W2393665810 title "Pear Surface Defect Extraction Method Based on Color Image" @default.
- W2393665810 hasPublicationYear "2010" @default.
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