ATD是被認為最接近人眼的色彩模型。在本論文中,我們將ATD色彩模型應用到多通道聯合轉換相關轉換器進行圖像辨識。為了評估ATD色彩模型是否適用於圖像辨識,我們首先利用多階量化參考函數的技術探討基於此模型之圖像辨識的效果。此外,我們和最常被用來做圖像辨識的RGB色彩模型做比較。評比的項目包含旋轉形變之辨識能力、對亮度強弱的辨識能力、多階量化參考函數效果、雜訊容忍度、真實背景的辨識能力、各通道間相關程度。我們利用PCE、PSR、CPI、Mutual correlation coefficient作為評估效能的工具。由結果得知,ATD色彩模型適合用來做圖像辨識。
People consider that ATD color model is the most to be close to human eyes. In this thesis, we apply ATD color model to multi-channel nonzero order joint transform correlator and perform pattern recognition. To estimate whether ATD color model is suitable for pattern recognition, we utilize the multi-level quantized reference functions to discuss the effect of pattern recognition. Furthermore, we compare with RGB, which is common used to perform pattern recognition. The terms of estimation contain recognition ability of rotational distortion, brightness performance, effect of multi-level quantized reference functions, noise tolerance ability, recognition ability of realistic background, and relationship between channels and channels. We utilize peak to correlation energy, peak to sidelobe ratio, correlation peak intensity, and mutual correlation coefficient as our performance evaluation parameters. Finally, the results show that ATD color model is suitable for pattern recognition.