在近年來自動化技術越來越成熟，可結合於各領域之中，使我們生活更加便利，尤其LED的使用更是逐年增加。為了對LED的品質好壞做篩選，需要透過LED探針進行特性量測，但目前探針大部分都由人工研磨方式生產及檢測，以至於精密度和品質參差不齊。有鑑於此，在本論文中我們提出一套用於LED探針的影像量測技術，將此技術結合電腦視覺與單軸步進馬達移動平台，實現出一套LED探針線上自動化量測系統平台。並運用影像處理與自動化量測兩者技術來模擬工廠對LED探針的自動化量測與分析。
由於工廠的環境複雜，其中包含雜訊、灰塵等，這些因素會對探針量測的精準度造成影響。所以我們提出多區段平均次像素方法，以降低環境因素的干擾。並提出有效的方法來消除探針上的反光點，且對於圓弧影像部分利用ROI方式取出。藉由上述影像處理方法能有助於改善自動化量測系統的穩定性與準確度。

In recent years, automation technology is reaching into its maturity stage, and could be combined with various fields. Especially the use of LEDs is growing steadily within each year, which made our everyday life more convenient. In order to differentiate the quality of LEDs, LED probes are needed for measuring its characteristics. But to date, most probes are produced and tested artificially, which might lead to impreciseness of probes and are of variable quality. In view of this, we propose an image measuring technique using on LED probes with combination of computer vision and uniaxial stepper motor mobile platform. Two techniques are used in this thesis: image processing and automatic measuring, which are for the simulation of automatic measuring and analyzing of LED probes in factories. Finally, an automatic measuring platform for LED probes system is implemented.
Due to the complicated environment in factories, including noise, dust, etc., these factors will undoubtedly cause certain effect on measurement accuracy of probes. Thus, we first proposed the various segmentation averaging sub-pixels (VSAS) method, to reduce disturbance caused by potential environmental factors. Second, we proposed an efficient method to diminish reflection points on probe. Last, we extracted the base of probe by using ROI method. By using the above mentioned image processing methods, we are able to greatly improve the accuracy and stability of the automatic measuring system.

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