臺灣博碩士論文加值系統

在近幾年智慧型手機普及的基礎上，實作了一套以Android手機為運行的環境，透過手機內建的相機進行即時影像處理，此系統不需要任何的輔助裝置，當今的行動時代講求資訊的快速、即時(Real time)，所以我們並不以影像而是以影片來呈現。
在本論文中，使用Android系統實作了一個手機應用程式來研究Android並探討Color Space以及膚色偵測的技術並實際應用；首先利用Android透過內建的相機來進行畫面的相關設定，像是看到的影像要進行解碼或是要運行時設定將鏡頭開啟，之後我們鏡頭所看到的畫面進行每秒5f/sec的處理，讓我們達到即時的這個條件，之後我們開始進行一些顏色的偵測，首先我們使用了色彩空間中基本的RGB來偵測黑色與白色，再來更進一步的膚色偵測，則是要用像是HSV、YIQ、YCbCr這類的技術來進行，這些技術要將自行公式轉換後再來進行偵測，公式中也參雜一些較為複雜的三角函數來進行運算，不過這樣也增加了技術上的準確性。

We implemented a visual-based image on the Android-based smartphone. This system uses only build-in camera in an Android phone. The system works with no other assisted equipment, today's information era action fast, real-time, so we are not in the image but rather to render the video.
In this paper, using the Android system implements an Android phone application to study and explore the color space and skin detection technology and practical application, firstly, we use only build-in camera to setting in an Android phone, The enactment opens the lens while being like the image seeing to carry on decoding or wanting to circulate, the appearance seen by our lens carries on the processing of each 5 f/sec after, let us reach instant of the condition, we start carrying on detecting of some colors after, we used basic RGB in the color space to detect first black and white, then come to further skin color to detect, then want to use is like HSV, YIQ and technique with this type of YCbCr to carry on, these techniques want will by oneself the formula come to carry on again to detect after converting and also mix some more complicated and triangle functions to carry on an operation in the formula, however also increased the accuracy of technique like this.

中文摘要...i
Abstract...ii
誌謝...iii
目錄...iv
表目錄...vi
圖目錄...vii
第一章緒論...1
1.1前言...1
1.2研究動機...2
1.3論文架構...2
第二章Android與Color Space...3
2.1Android介紹...3
2.2Android開發環境－Eclipse...3
2.3Color Space介紹...8
2.3.1色彩的色相屬性...9
2.3.2色彩的明度屬性...10
2.3.3色彩的彩度屬性...11
第三章Android 手機鏡頭設定...12
3.1Camera to SurfaceView設定...12
3.2Camera SurfaceHolder設定方法...12
3.2.1Camera SurfaceCreated方法...13
3.2.2Camera SurfaceDestroyed方法...13
3.2.3Camera SurfaceChanged方法...14
3.3Camera Preview方法...14
第四章黑白色檢測實作結果...15
4.1Raw to rgbBuf...15
4.2rgbBuf to Bitmap & Resize...16
4.3Pixel color extraction...18
4.4Color detection...20
4.5Color detection video...21
第五章皮膚顏色檢測實作與結果...24
5.1Skin YIQ...24
5.2Skin HSV...25
5.3Skin YCbCr...27
5.4Fingertip Detection...28
5.5Skin compare...30
5.6Detection video...32
第六章結論...34
參考文獻...35

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