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標題: 分水嶺分割法於子宮頸抹片細胞影像之分析
The Analysis of Cervical Smear Images based on Watershed Segmentation
作者: 林宛怡
Lin, Wan-Yi
關鍵字: watershed segmentation;分水嶺分割演算法;region merging algorithm;cervical smear image;區塊合併演算法;子宮頸抹片影像
出版社: 電機工程學系所
引用: [1] 楊辰夫,李淑美 譯註,“細胞診斷學 Practical cytodiagnosis”,合記圖書,1992年。 [2] 張智星 著,“MATLAB 程式設計與應用”,清蔚科技,2000年。 [3] 穆紹綱 編著,“數位影像處理-活用Matlab”,全華科技,2003年。 [4] 黃博琪,“子宮頸細胞自動化電腦輔助影像分析系統之設計研發”,國立中興大學,碩士論文(92) 。 [5] 馮齡儀,“電腦輔助子宮頸抹片異常細胞辨識之初期研究”,私立中原大學,碩士論文(93) 。 [6] 陳淑嬌,“梯度向量流主動輪廓模型於子宮頸抹片細胞邊界偵測之應用”,國立中興大學,碩士論文(91) 。 [7] 行政院衛生署, [8] 行政院衛生署台中醫院病理科, [9] 馬偕紀念醫院病理科, [10] R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” second edition, Prentice Hall, 2002. [11] A. P. Dhawan, “Medical Image Analysis,” Wiley-IEEE Press, 2003. [12] H. Fu, Z. Chi, D. Feng, “Attention-driven image interpretation with application to image retrieval,” Pattern Recognition, vol. 39, no. 9, pp. 1604 – 1621. [13] Z. Hou, Q. Hu, W.L. Nowinski, “On minimum variance thresholding,” Pattern Recognition Letters, vol. 27, no. 14, pp. 1732 – 1743. [14] Women''s Health & Education Center, [15] ThinPrep System,


In recent years, the application of engineering techniques to solve the problems in medical field has been under rapid developments. Among which, the digital image processing is particularly applicable to medical image analysis. In the diagnosis of cervical cancer, the Thin-Prep Pap Smear has always played a key role. However, the tedious primary screening is prone to bring about human errors and false negative test results. In order to assist pathologists in examining the Thin-Prep Pap Test specimens, a new method based on the watershed algorithm is proposed to improve the efficiency of the screening process.

The proposed approach is based on the concept of morphological watersheds and it can produce stable segmentation results. Furthermore, with a merging algorithm using the characteristics of cervical smear images, the problem of over-segmentation is alleviated as well. With the capability of extracting the required information effectively, the proposed method has the potential to achieve high accuracy in cervical screening.
其他識別: U0005-2407200700442500
Appears in Collections:電機工程學系所

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