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National Chung Hsing University Institutional Repository - NCHUIR > 農業暨自然資源學院 > 昆蟲學系 > 依資料類型分類 > 期刊論文 >  An adaptive image segmentation algorithm for X-ray quarantine inspection of selected fruits

Please use this identifier to cite or link to this item: http://nchuir.lib.nchu.edu.tw/handle/309270000/132568

標題: An adaptive image segmentation algorithm for X-ray quarantine inspection of selected fruits
作者: Jiang, J.A.;Chang, H.Y.;Wu, K.H.;Ouyang, C.S.;Yang, M.M.;Yang, E.C.;Chen, T.W.;Lin, T.T.
楊曼妙
關鍵字: X-ray;insect pest inspection;quarantine;image processing;adaptive;thresholding;deboned poultry;classification
日期: 2008
Issue Date: 2012-12-07 17:04:36 (UTC+8)
關連: Computers and Electronics in Agriculture, Volume 60, Issue 2, Page(s) 190-200.
摘要: Although X-ray scanners are commonly used in airports or customs for security inspection, practical application of X-ray imaging in quarantine inspection to prevent propagation of alien insect pests in imported fruits is still unavailable. The first step to identify insect infestation in fruit by X-ray imaging technique is image acquisition. This is followed by the image segmentation procedure, which can locate sites of infestation. Since the grey level of X-ray images depends on the density and thickness of the test samples, the relative contrast of infestation site to the intact region inside a typical fruit varies with its position. To accurately determine whether a fruit has signs of insect infestation, we have developed an adaptive image segmentation algorithm based on the local pixels intensities and unsupervised thresholding algorithm. This paper presents the detailed image processing procedure including the grid formation, local thresholding, threshold value interpolation, background removal, and morphological filtering for the determination of infestation sites of a fruit in X-ray image. The real-time image processing procedure was tested with X-ray images of several types of fruit such as citrus, peach, guava, etc. Additional tests and analyses were also performed using the developed algorithm on the X-ray images obtained with different image acquisition parameters. (C) 2007 Elsevier B.V. All rights reserved.
Relation: Computers and Electronics in Agriculture
Appears in Collections:[依資料類型分類] 期刊論文
[依教師分類] 楊曼妙

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