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研究生:林庭陞
研究生(外文):Tieng-Sheng Lin
論文名稱:結合均等表色系統進行光學圖像辨識之分析與研究
論文名稱(外文):Chromatic Image Recognition Based on CIELab Color Model
指導教授:陳祖龍
學位類別:碩士
校院名稱:元智大學
系所名稱:光電工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:70
中文關鍵詞:多彩圖形辨識均等表色系統多通道聯合轉換相關器
外文關鍵詞:pattern recognitionCIELAB standard color vision modelmulti-channel joint transform correlator
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在本論文中,我們使用CIELAB標準色彩空間取代傳統的RGB色彩空間來進行多彩圖像辨識。LAB中的三分量分別代表亮度,紅、綠及黃、藍互補色。其中,本篇論文是使用多通道的聯合轉換相關器作為光學辨識的架構。而為了達到辨識程序中的形變不變特性,我們亦利用了最小平均相關能量法來尖銳化輸出峰值。此外,由於設備的成本考量,我們加入了影像編碼技術並比較使用後的結果。
從數據化結果可知,我們進行LAB、RGB與HSV在不同通道數目下,即三通道與兩通道的辨識。其後,我們加入了影像編碼技術並觀察此技術對辨識能力的影響。我們發現CIELAB空間的辨識效果普遍上都優於RGB色彩空間,與HSV的比較則是視情況而定。所以可得知在LAB表色系統模型下的彩色影像辨識能力是可被接受的。
In this thesis, the CIELAB standard color vision model instead of the traditional RGB color model is utilized for polychromatic pattern recognition. The L, A and B represents the lightness, the color red-green and yellow-blue, respectively. Here, the multi-channel joint transform correlator is set to be the optical discrimination configuration. To achieve the distortion invariance in discrimination processes, we also use the minimum average correlation energy approach to yield sharp correlation peak. Besides, the image encoding technique is introduced and compared because of the cost of the device.
From the numerical results, we perform the recognition compared with HSV and RGB in different channel amounts, i.e. three and two selected channels. Subsequently, the encoding technique is adopted to observe the effects on discrimination quality. We discover that the recognition results based on CIELAB model are superior to RGB generally, and case by case with HSV. So we realize that the recognition ability based on CIELAB color specification system is accepted.
Chinese Abstract i
English Abstract ii
Acknowledgement iii
Contents iv
Figure Captions vii
List of Tables x
Chapter 1 1
1.1 Evolution 1
1.2 Organization of the Dissertation 3
Chapter 2 4
2.1 Architecture of experiment 4
2.2 Mathematical analysis 6
2.21 Correlation processing 6
2.22 Minimum average correlation energy approach 10
2.3 Uniform color specification system 15
2.5 Performance evaluation 23
2.6 Mutual correlation coefficient 26
Chapter 3 27
3.1 Average mutual correlation coefficient 27
3.11 Average coefficients among color spaces 27
3.12 Coefficients in selected channels 29
3.2 Results for diverse recognition in three channels 30
3.21 Results for original pattern recognition 30
3.23 Results for original pattern in multiple angles 35
3.3 Results for diverse recognition in two selected channels 38
3.31 Comparisons between LC* and SV channels 38
3.32 Comparisons between C*H* and HS channels 41
3.41 Three channels recognition after image encoding 49
3.42 Three channels in multiple angles after image encoding 51
3.43 Two selected channels in multiple angles after image encoding 53
3.5 Noise performance 57
3.51 The random Gaussian noise on input scene in three channels 57
3.53 Background noise in target pattern 62
3.54 Image damage in target pattern 64
Chapter 4 66
References 68
[1]A. VanderLugt, “Signal detection by complex spatial filter,” IEEE Transactions on Information Theory, Vol. IT-10, pp. 139-146, 1964.
[2]C. S. Weaver and J. W. Goodman, “A technique for optically convolving two functions,” Applied Optics, Vol. 5, pp. 1248-1249, 1966.
[3]J. Lee, C. Seo and E. Kim, “Implementation of opto-digital stereo object tracking system,” Optics Communications, Vol. 200, pp. 73-85, 2001.
[4]X. J. Lu, F. T. S. Yu and D. A. Gregory, “Comparison of VanderLugt and joint transform correlator,” Applied physics B: Lasers and optics, Vol. 51, pp. 153-164, 1990.
[5]F. T. S. Yu, Q. W. Song, Y. S. Cheng and D. A. Gregory, “Comparison of detection efficiencies for VanderLugt and joint transform correlators,” Applied Optics, Vol. 29, pp. 225-232, 1990.
[6]P. Putwosumarto and F. T. S. Yu, “Robustness of joint transform correlator versus VanderLugt correlator,” Optical Engineering, Vol. 36, pp. 2775-2780, 1997.
[7]C. Li, S. Yin and F. T. S. Yu, “Nonzero-order joint transform correlator,” Optical Engineering, Vol. 37, pp. 58-65, 1998.
[8]C. Chen, “Minimum-variance nonzero order joint transform correlators,” Optics Communications, Vol. 182, pp. 91-94, 2000.
[9]C. Chen and J. Fang, “Cross-correlation peak optimization on joint transform correlators,” Optics Communications, Vol. 178, pp. 315-322, 2000.
[10]C. Chen, “Joint transform correlator with minimum peak variance in nonzero-mean noise environment,” Optics Communications, Vol. 187, pp. 319-323, 2001.
[11]A. Mahalanobis, B. V. K. V. Kumar and D. Casasent, “Minimum average correlation energy filters,” Applied Optics, Vol. 26, pp. 3633-3640, 1987.
[12]M. Deutsch, J. Garcia and D. Mendlovic, “Multi-channel single-output color pattern recognition by use of a joint-transform correlator,” Applied Optics, Vol. 35, pp. 6976-6982, 1996.
[13]C. Chen and W. Wu, “Color pattern recognition with the multi-channel non-zero-order joint transform correlator based on the HSV color space,” Optics Communications, Vol. 244, pp. 51-59, 2005.
[14]M. Corbalan, M. S. Millan and M. J. Yzuel, “Color pattern recognition with CIELAB coordinates,” Optical Engineering, Vol. 41, pp. 130–138, 2002.
[15]M. Corbala´n, M.S. Milla´n and M.J. Yzuel, ‘‘Color measurement in standard CIELAB coordinates using a 3CCD camera: correction for the inuence of the light source,’’ Optical Engineering, Vol. 39(6), pp. 1470–1476, 2000.
[16]M. S. Alam*, S. F. Goh and S. Dacharaju, “Three dimensional color pattern recognition using fringe adjusted joint transform correlation with CIELAB coordinates,” Proceedings of SPIE, Vol. 5816, pp. 258-269, 2005.
[17]C. Lee and C. Chen, “Color pattern recognition using image encoding joint transform correlator,” Microwave and Optical Technology Letters, Vol. 49, pp. 1665-1669, 2007.
[18]Wilhelm Burger and Mark J. Burge, Digital image processing, Springer, pp. 239-291, 2008.
[19]IEC 61966-2-1 “Multimedia systems and equipment - Colour measurement and management - Part 2-1: Colour management - Default RGB colour space - sRGB,” IEC 61966-2-1, 1999.
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