基于計算機視覺的花生仁外觀品質無損檢測方法的研究.pdf

1、分類號密級華中農(nóng)業(yè)大學博士學位論文基于計算機視覺的花生仁外觀品質無損檢測方法的研究STUDYONAPPEARANCEQUALITYNONDESTRUCTIVEINSPECTIONOFPEANUTUSINGCOMPUTERVISION博士研究生:陳紅導師:吳謀成教授答辯小組:張聲華吳采櫻謝筆鈞王存文陳浩專業(yè)農(nóng)產(chǎn)品加工及貯藏工程研究方向農(nóng)產(chǎn)品品質無損檢測獲得學位名稱工學博士獲得學位時間年月日華中農(nóng)業(yè)大學食品科學技術學院二00八年十二月基于計

2、算機視覺的花生仁外觀品質無損檢測方法的研究7.2鏈碼輪廓跟蹤算法........................……，.....................……247.3邊緣輪廓跟蹤結果與分析.......................……，..............................……，........……258邊緣檢測..............................................

3、................................................................……268.1邊緣檢測算子.......……，.....……，..............................................................……268.1.1Robert算子...................……，........................

4、...........................................……268.1.2Prewit算子....……，......................……，....................................................……278.1.3sobel算子............................................................

5、..................................……278.1.4Log(LaPlacianofGaussian)算子.，.........................................................……288.1.5canny算子............................................................................

6、.……298.2邊緣檢測各算子比較二，.................................................................................……299形態(tài)學運算..........................................................................................................……30

7、9.1膨脹...............................................................................................................……309.2腐蝕...............................................................................................

8、................……319.3開運算...........................................................................................................……319.4閉運算.............................................................................

9、..............................……3110區(qū)域填充與標一記..……，，.，二，，，，.…，二，，..……，二，…，..…，.......................................一3211圖像合成................................................................................................

10、............……3312本章小結............................................................................................................……33第二章霉變花生仁識別............................................................……，......”......

11、.........……351霉變花生仁識別.......................................……，....................................................……351.1花生仁樣品圖像獲取....................……，........................................................……351.2圖像預

12、處理...................................……，.........................................................……361.2.1圖像噪聲的去除....................................................................................……361.2.2邊緣提取..........

13、.....................................................................................……‘361.2.3形態(tài)學濾波............................................................................................……371.2.5圖像合成...............

14、.............................................................................……，…381.3.1顏色特征參數(shù)........................................................................................……391.3.2紋理特征值參數(shù)二，....................

15、.............................................................……451.4霉變識別系統(tǒng)........................................……，，.…、……，.....……，.......................……481.4.1BP神經(jīng)網(wǎng)絡設計.，..............................................

16、...................................……481.4，ZBP神經(jīng)網(wǎng)絡結構.，.……，..…，.…，，.，，，…，.…，.，二，，..…，.....……，..…，…，.............……501.4.3BP神經(jīng)網(wǎng)絡的生成及初始化...............................................................……511.4.4BP神經(jīng)網(wǎng)絡的訓練和仿真...

17、................................................................……521.4.5花生仁霉變情況識別系統(tǒng)...................……，..........................................……531.4.6網(wǎng)絡訓練...........................................................

18、.....................................……551.5.1界面設計..................................................................……，.......................……581.5.2試驗結果驗證.............................……，...............................

19、.....................……592花生仁霉變程度檢測..……，.................................................................................……592.1樣品圖像獲取............................……，.......................................................

20、.....……592.2圖像處理...............……，.................................................................................……602.3特征參數(shù)選取....................................……，......................……，.......................……612

21、.4花生仁霖變程度識別.，.................................................................................……622.4.1花生仁霉變區(qū)域分割及識......................................……。.、.，.....……、.......……622.4.2試驗結果驗證...............................