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一、公共生物工程的概念與特征
采用先進的計算機圖像處理與分析技術(shù)完成白細胞分類計數(shù)是輔助診斷血液疾病的重要方法。各種白細胞間的紋理差異較大，紋理是區(qū)分白細胞的重要特征之一。局部二進制模式（local
binary pattern，LBP）是一種有效的紋理描述算子。本研究提出了一種提取細胞的改進LBP特征用于白細胞分類識別的算法。首先，用小波變換對圖像進行分解并重構(gòu)，獲得四幅不同頻率的分量圖，對其中的低頻信號采用離散余弦變換。此后，用可變大小的子窗口對變換后的圖像掃描，并根據(jù)不同區(qū)域賦以權(quán)值，獲取改進的LBP特征，構(gòu)成加權(quán)直方圖。這種特征既能反映細胞局部特征又能反映整體特征。根據(jù)測試樣本和模板的LBP特征直方圖之間的馬氏距離構(gòu)建分類器。根據(jù)這種改進LBP特征有效地實現(xiàn)了白細胞的5種分類，得到了令人滿意的分類正確率。實驗結(jié)果表明:本研究提出的算法能有效地區(qū)分不同類的白細胞;與其他一些算法相比，提高了分類的精確度。
Leukocyte Classification Based On an
Enhanced Local Binary Pattern Feature
ZHOU Ying-ying，ZHOU Zhen-yu，SUN Ning，BAO
Xu-dong
。↙aboratory of Image Science and Technology，Southeast
University，Nanjing Jiangsu210096，China;Department
of Biomedical Engineering，Southeast University，Nanjing210096;Department
of Radio Engineering，Southeast University，Nanjing210096）
Abstract:Classification and counting of
leukocyte types，by dint of the advanced computer
technology for image processing and analysis，is of
great importance due to its crucial role in study of
assistant diagnosis of blood diseases.Leukocytes are
different in texture which is one of the important
features in cell classification.Local binary pattern（LBP）is
an efficient operator because of its excellent
capability of description of local texture.Here，a
method based on extracting an enhanced LBP feature，for
identification of leukocytes is introduced.First
discrete wavelet transform（DWT）is adopted to
decomposed images into four kinds of frequency
subimages，and then discrete cosine transform（DCT）to
the low frequency subimages from which the features
are calculated to increase original data.Then the
transformed subimages are scanned with small
changeable windows fromwhich improved features are
obtained and weighted histograms which effectively
express both local and ho-listic features of the
cell areas are constructed according to gray-scale
distributions.Finally，Mahalanobis distance between
corresponding LBP histograms of the test image and
template is used to construct classifiers.With the
enhanced LBP feature extracted by this method，the
satisfying classification accuracy achieves good
effects for dividing leucocytes into five types.The
results of experiments show that the proposed
approach which is discriminative for leukocytes
classification achieves better performance of
leukocytes classification than the others methods.
Key words:Leukocyte classification;Local
binary pattern;Discrete wavelet transform;Discrete
cosine transform;Mahalanobis distance
新譯通翻譯的企業(yè)介紹
新譯通翻譯公司（北京、上海、廣州、深圳），是當前國內(nèi)最大的連鎖翻譯服務機構(gòu)之一。經(jīng)工商行政管理局注冊登記的專業(yè)翻譯公司。新譯通翻譯公司擁有一個由翻譯專家、高級審譯顧問、外籍專家、IT工程師及國際律師組成的優(yōu)秀工作團隊。他們的努力工作為我們的優(yōu)質(zhì)服務提供了強有力的保證。翻譯人員主要來自北京外國語大學、上海外國語大學、浙江大學、諾丁漢大學、寧波大學及西安外國語學院等全國知名高等學府及科研院所，新譯通翻譯公司堅持“質(zhì)量第一 客戶至上 價格合理”的指導思想，根據(jù)客戶不同專業(yè)資料的要求,充分發(fā)揮每位翻譯人員的優(yōu)勢特長，秉乘“一心一譯 全心全譯—譯天下文章”的工作原則,積極為中國的經(jīng)濟、文化對外交流與發(fā)展，作出我們應有的貢獻。 |
