本研究利用影像式輝度與色度量測系統之研究基礎，基於已完成驗證之CIE三色刺激值濾光片，進一步針對面型輝度計之建立以及灰階—輝度轉換方法進行開發與驗證。研究中利用搭載CIE XYZ三色刺激值濾光片之相機系統擷取光源影像灰階資訊，並搭配輝度計量測結果，建立灰階值與實際輝度間之對應關係，以達成由單張影像直接推估光源輝度、色度座標及相關色溫之目的。實驗架構採用具朗伯信光源特性與準直光源系統，模擬無窮遠光源，建立AR/VR近眼顯示系統之光場環境。實驗先以約±3度發散角的光源系統，驗證研究方法的可行性，再應用於±15度大角度發散角的光源系統進行研究，並透過不同曝光時間與亮度條件下之量測結果，分析相機灰階響應與輝度之線性特性、穩定性及動態範圍表現。 本研究除建立灰階值與 CIE XYZ 三色刺激值間之轉換模型外，亦進一步針對大角度光源之量測需求，發展全畫面量測與多區域拼接方法。研究中利用不同視角位置之影像量測結果進行校正與拼接，藉以重建±15度範圍內之光場分佈資訊，並分析不同角度下灰階值與輝度間之對應關係。此外，針對不同曝光時間下之灰階資料進行校正分析，建立不同曝光條件間之轉換關係，以提升高亮度與低亮度區域之量測精度與適用範圍。 實驗結果顯示，本研究所建立之灰階轉換模型可有效將影像灰階值轉換為實際輝度與色度參數，且與輝度計量測結果具有良好一致性；而透過全畫面量測與拼接方式，亦能有效重建大角度光源之輝度分佈。相較於傳統單點式輝度計，本研究所建立之影像式量測系統具備非接觸、高解析度、大面積同步量測及大視角量測之優勢，可有效提升量測效率並降低設備成本。未來可進一步結合角度補償與離軸校正技術，以提升面型輝度量測系統於顯示器檢測、AR/VR 光學模組、智慧照明及光場量測等應用之量測精度與實用性。;This study builds upon previous research on imaging-based luminance and chromaticity measurement systems. Based on previously validated CIE XYZ tristimulus filters， an imaging luminance measurement system and grayscale-to-luminance conversion method were further developed and experimentally verified. A camera equipped with CIE XYZ tristimulus filters was used to capture the grayscale information of the light source， and reference measurements obtained using a commercial luminance meter were used to establish the relationship between camera grayscale values and actual luminance. Through this approach， the proposed system is capable of directly estimating luminance， chromaticity coordinates， and correlated color temperature (CCT) from captured images. A light source with approximately Lambertian characteristics and a collimated optical system were employed to simulate an infinity target and establish an optical field representative of AR/VR near-eye display systems. The feasibility of the proposed method was first verified using a light source with a divergence angle of approximately ±3°， and the method was subsequently extended to a large-angle light source with a divergence angle of ±15°. Measurements under different exposure times and luminance levels were conducted to investigate the linearity， stability， and dynamic range of the camera grayscale response. In addition to establishing conversion models between grayscale values and CIE XYZ tristimulus values， this study further developed full-field measurement and multi-region image stitching methods for large-angle light sources. Measurement results obtained at different viewing angles were calibrated and stitched to reconstruct the light-field distribution over an angular range of ±15°， and the relationship between grayscale values and luminance at different viewing angles was analyzed. Furthermore， grayscale data acquired under different exposure times were calibrated to establish conversion relationships between different exposure conditions， thereby improving the measurement accuracy and applicable range for both high- and low-luminance regions. Experimental results demonstrate that the proposed grayscale conversion models can effectively convert image grayscale values into actual luminance and chromaticity parameters， showing good agreement with measurements obtained using a commercial luminance meter. The full-field measurement and image stitching methods were also capable of effectively reconstructing the luminance distribution of large-angle light sources. Compared with conventional point-by-point luminance measurement using a luminance meter， the proposed imaging system offers the advantages of non-contact measurement， high spatial resolution， full-field simultaneous acquisition， and large-field-of-view measurement， while improving measurement efficiency and reducing equipment cost. Future work will focus on incorporating angular compensation models and off-axis calibration techniques to further improve the measurement accuracy and practical applicability of the imaging luminance measurement system for display inspection， AR/VR optical modules， intelligent lighting， and light-field measurement applications.
