【正文】 .....................................................................................................................8 圖像命名規(guī)則 .........................................................................................................................8 數(shù)字圖像預處理 .............................................................................................................................8 灰度化處理 .............................................................................................................................9 將掌紋圖像二值化 .................................................................................................................9 掌紋圖像定位點的自動檢測 .................................................................................................9 旋轉(zhuǎn)轉(zhuǎn)正方法 .......................................................................................................................11 掌紋提取方法 .......................................................................................................................11 對圖像進行特征提取 ...................................................................................................................12 Gabor 變換 .............................................................................................................................12 不變矩 ...................................................................................................................................13 對圖像進行分類識別 ...................................................................................................................14第 3 章 實驗結(jié)果 ...................................................................................................................................15 實驗結(jié)果 ......................................................................................................................................15 研究成果 ......................................................................................................................................15第 4 章 結(jié) 論 .........................................................................................................................................16 總結(jié) ..............................................................................................................................................16 工作展望 ......................................................................................................................................16參考文獻 .................................................................................................................................................17附錄 1 掌紋自動識別系統(tǒng) ....................................................................................................................18附錄 2 掌紋圖像預處理 ........................................................................................................................21附錄 3 掌紋特征 GABOR 變換和特征提取 ............................................................................................23致 謝 .................................................................................................................................................26數(shù)據(jù)庫圖像資料 .....................................................................................................................................27浙江省“新苗人才計劃”項目 視網(wǎng)膜血管分割系統(tǒng)設(shè)計與實現(xiàn) 項目研究報告5第 1章 緒 論視網(wǎng)膜血管是人體唯一可以在活體使用非創(chuàng)傷性手段直接觀察到的血管,許多全身性血管病以及代謝性疾病均可使眼底血管受到不同程度的侵犯,特別是心、腦、腎等與血管有關(guān)的器官發(fā)生病變,眼底血管的改變在一定程度上可反映病變的程度 [1]。 4) evaluated the performance of minimalpath algorithm by experiments.Key Words: retinal image, vessel detection, image segmentation, Canny, Mathematical Morphology 3畢業(yè)設(shè)計（論文）原創(chuàng)性聲明和使用授權(quán)說明原創(chuàng)性聲明本人鄭重承諾：所呈交的畢業(yè)設(shè)計（論文） ，是我個人在指導教師的指導下進行的研究工作及取得的成果。該研究的主要工作包括：1）綜述了公開報道的各種視網(wǎng)膜血管檢測方法；2）研究了 Canny 算子與數(shù)學形態(tài)學濾波相結(jié)合的方法算法及其實現(xiàn)技術(shù)；3）通過 VC++ 編程實現(xiàn)了 Canny 算子與數(shù)學形態(tài)學濾波相結(jié)合的方法算法進行視網(wǎng)膜血管提取；4）通過實驗驗證了算法的有效性。1視網(wǎng)膜血管分割系統(tǒng)設(shè)計與實現(xiàn)技術(shù)研究 摘 要 視網(wǎng)膜血管檢測作為圖像處理的一個應用在臨床醫(yī)學中發(fā)揮著愈來愈重要的作用。關(guān)鍵詞：視網(wǎng)膜圖像，血管檢測，圖像分割，Canny,數(shù)學形態(tài)學2MINIMALPATH BASED APPROACH TO DETECTION OF RETINAL VESSELSABSTRACT As an application of image processing, the detection of retinal vessels plays more and more important role in clinical medicine. The main methods of ves