| 摘要(英) |
The technologies used for the brightness and color testing of the LED (Light Emitting Diode) modules on the market, are mostly remain in the manual ways, manual inspection could induce the human errors and cause the damage of human eyes. Due to the different operators, timing and environment, the results of the inspection might be different.
The study is utilizing the concept of the neural networks, using the back-propagation neural network method, to construct a LED module automatic inspection system. The uniformity of the brightness and the color deviation of the module were tested. The CCD camera captures the red, green, and blue grayscale values from the samples under test, the captured data are divided into 3 different bins, one for the learning, one for the testing and retraining, and one for the final accuracy conformation purpose. The optical centroid qualified method is used for the LED RGB gray level images.
The results of the study are fairly reasonable, some deviations are caused by the environmental factors, adding these samples to the learning bin, making some repeated learning, and the acceptable results are obtained. The fuzzy logic methodology is considered to be the future study for the advanced research, and more stable results would be expected.
Keywords: LED, neural networks, back-propagation
|
| 參考文獻 |
[1] 劉如熹 and 林益山, "人類未來照明的夢想, " 科學發展月刊 390, 57-59 (2005).
[2] 孫培真 and 黃建晃, “新世代節能環保照明,” 生活科技教育月刊 38, 104-113 (2005).
[3] 石大成, "新世紀照明啟用-半導體LED節能照明發展暨應用, " 能源報導 8, (2004)
[4] 林川發, "發光二極體的照明應用, " 科學發展月刊 435, 36-41 (2009).
[5] 葉書佑，「彩色LED 顯示器模組亮度均勻性檢測及補償機制之研究」，碩士論文，國立臺灣科技大學自動化及控制研究所，台北 (2007)。
[6] 技術學刊 第二十四卷 第三期 民國九十八年 205Journal of Technology, Vol. 24, No. 3, pp. 205-212 (2009)
[7] Chowdhury Subir, Design for Six Sigma [electronic resource] : the Revolutionary process for achieving extraordinary profits / Subir Chowdhury, Chicago IL : Dearborn Trade Pub,2002
[8] 大田 登, 色彩工程學：理論與應用. (全華科技 2007), 2nd ed.
[9] 劉憲勳, 利用類神經網路從CCD 照相機之照片去獲得發光二極體二維光強度分佈, 國立中央大學,光電科學研究所, 碩士學位論文, 民國93年
[10] 羅梅君，印刷色度學，印刷科技
[11] Neural Ware, Neural computing:A technology handbook for Professional II/Plus and Neural Works Explorer,1993
[12] Adel S. Sedra and Kenneth C. Smith, Microelectronic Circuits. (Oxford University
Press, 2004), 5th ed.
[13] 郭又榮, 「新光學三角量測系統與應用」, 國立中央大學,光電科學研究所, 碩士學位論文, 民國97年
[14] 吳季樺, 光學質心法應用於光電量測系統之研究, 國立中央大學,光電科學研究所, 碩士學位論文, 民國94年
[15] Amir D.Aczel, Jayavel Sounderpandian , Complete Business Statistics,7th ed,2009
[16] 楊志誠,Key Parameters Optimization Applying Six Sigma Methodology and Artificial Neural Network to a Multi-Range Curvature Optical Surface Grinding Process, 國立中央大學,光電科學研究所, 碩士學位論文, 民國94年
[17] 羅華强，MATLAB 5.3 SIMULINK 3.0範例入門，全華科技圖書公司, 民國89年
[18] 葉怡成，類神經網路模式應用與實作，儒林圖書有限公司，2001
|
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit