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- W2365657805 abstract "Aiming at the difficulties of the fruits inner quality delecting, the image characteristics of fruits soft X-ray transmission were studied. The image difference between the regular flesh and the degenerative one was analyzed. An approach to the fruits quality real-time detecting by soft X-ray transmission based on one-class support vector machine classifier and outline recognition was presented. In this method, hypersphere OC-SVM classifier was used to seek the grey-scale of the regular flesh, relative grey-scale and relative position of the regular flesh were the training samples because of the grey-scale's cricoid change from the edge to center. In outline recognition, to reduce the misjudge result from calculated error of the core position, reference frame transform and second derivative of curve were adopted. The experiment shows that to the fruits with degenerative part inside or on the surface, the general accuracy of recognition can reach 88%." @default.
- W2365657805 created "2016-06-24" @default.
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- W2365657805 date "2010-01-01" @default.
- W2365657805 modified "2023-09-28" @default.
- W2365657805 title "An Approach to Fruits Quality Real-Time Detecting by Soft X-Ray" @default.
- W2365657805 hasPublicationYear "2010" @default.
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