應用在條碼辨識的高可靠度影像分割方法

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姓名

葉佳達(Jia-Da Yeh) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

應用在條碼辨識的高可靠度影像分割方法
(High reliability of image segmentation method in barcode recognition)

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摘要(中)

傳統條碼辨識在光照不均的環境下，會造成條碼影像分割錯誤及辨識率不足的問題。本研究應用迭代式Otsu方法來改善影像的二值化，利用迭代搜索的分割影像的子區域，對於所採集的條碼影像，計算不同光照區域的最佳閾值，以增進影像分割的可靠度，從而提升條碼辨識率。我們實作了此方法，並以一組取樣品質不佳的條碼影像資料庫進行測試，測試結果表明，該方法確實對不同光照環境的影像能夠獲得更好的二值化結果。此一結果將能被應用到真實工業生產條碼的辨識。

摘要(英)

Traditionally, barcode recognition rate will be affected by uneven illumination since it may cause the faults of image segmentation and then raise the error rate of recognition. In this paper, we try to use an iterative triclass thresholding technique proposed by Cai to improve the thresholding. The method uses iterative search for image segmentation and computes the optimal threshold values for different illumination regions. Thus, the reliability of image segmentation is increased and the rate of barcode recognition is improved. We implemented this method and tested it with a group of inferior sampling quality barcode images. The experiment data shows that the method actually obtains a better result of thresholding on images under the uneven illumination. The result will be applied to actually industrial barcode recognition.

關鍵字(中)

★ 條碼辨識
★ 影像分割

關鍵字(英)

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 ix
第一章、緒論 1
1.1 研究背景 1
1.2 研究目的 2
1.3 論文架構 3
第二章、條碼識別與影像分割 4
2.1 條碼簡介 4
2.1.1 二維條碼 - QR Code 4
2.1.2 二維條碼 – Data Matrix 11
2.2 影像前處理 15
2.3 灰階轉換與平均灰階值計算 16
2.4 影像分割 17
2.5 迭代式Otsu Thresholding 演算法 21
第三章、二維條碼辨識演算法設計 23
3.1 硬體合成方法論 23
3.1.1 IDEF0 系統架構 24
3.1.2 Grafcet離散事件建模 25
3.1.3 合成規則 26
3.2條碼辨識系統設計 28
3.3 Otsu二值化演算法模組設計 32
第四章、實驗結果 34
4.1實驗環境 34
4.1.1條碼樣本的取得 34
4.1.2硬體設備 35
4.1.3 開發軟體 35
4.2條碼辨識實作與驗證 36
4.2.1傳統方法 ( Hard-Limiter ) 36
4.2.2使用Otsu演算法 40
4.2.3使用迭代式Otsu演算法 44
4.3實驗結果 48
4.4討論 49
第五章、結論與未來方向 50
5.1 結論 50
5.2未來研究與方向 51
參考文獻 52
附錄 55
Data Initialed模組grafcet 55
Data Categorized模組grafcet 56
Data Summed模組grafcet 57
Data Calculated模組grafcet 58

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指導教授

陳慶瀚(Ching-Han Chen)

審核日期

2014-7-22

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