• 検索結果がありません。

References

[1] Auto exposure bracketing settings by camera model. http://www.

hdr-photography.com/aeb.html. 16

[2] Autonomous cruise control system.http://en.wikipedia.org/wiki/

Autonomous_cruise_control_system. 2

[3] CMYK. http://en.wikipedia.org/wiki/CMYK_color_model. 3

[4] DAS. http://cartech.about.com/od/Safety/tp/

Advanced-Driver-Assistance-Systems.html. 2

[5] Entropy. http://www.astro.cornell.edu/research/

projects/compression/entropy.html. 46

[6] GPS navigation device. http://en.wikipedia.org/wiki/GPS_

navigation_device. 2

[7] Image Gradiant. http://en.wikipedia.org/wiki/Image_

gradient. 46

[8] A standard default color space for the Internet. http://www.w3.org/

Graphics/Color/sRGB.html. 3,5

[9] YUV. http://en.wikipedia.org/wiki/YUV. 4

[10] M. ABDULLAH-AL-WADUD, M.H. KABIR, M.A.A. DEWAN,ANDO. CHAE. A dynamic histogram equalization for image contrast enhancement. IEEE

REFERENCES

Trans. on Consumer Electronics (TCE), 53[2]:593–600, May 2007. 15, 89, 102,103,105,112

[11] S. AGAIAN, K. PANETTA, AND A. GRIGORYAN. Transform-based image en-hancement algorithms with performance measure. IEEE Trans. on Image Pro-cessing(TIP),10[3]:367–382, Mar. 2001. 14,15

[12] S. AGAIAN, B. SILVER, AND K. PANETTA. Transform coefficient histogram-based image enhancement algorithms using contrast entropy. IEEE Trans. on Image Processing(TIP),16[3]:741–758, Mar. 2007. 14,15

[13] S. AGHAGOLZADEH ANDO. ERSOY. Transform image enhancement. Optical Engineering,31:614–626, Mar. 1992. 102,103,105,112

[14] T. ARICI, S. DIKBAS, AND Y. ALTUNBASAK. A histogram modification framework and its application for image contrast enhancement. IEEE Trans.

on Image Processing(TIP),18[9]:1921–1935, Sep. 2009. 110,113

[15] P. ARNOUL, M. VIALA, J. GUERIN, ANDM. MERGY. Traffic signs localisa-tion for highways inventory from a video camera on board a moving colleclocalisa-tion van. Proc. of IEEE Intelligent Vehicles Symp.(IV), pages 141–146, Sep. 1996.

10,12

[16] Y. BABA, Y. WATANABE, M. NITTA, AND K. KATO. Development of an adaptive cruise control system using a monocular camera.Int’l Conf. on Control, Automation and Systems(ICCAS), pages 1293–1297, 2011. 2

[17] C. BAHLMANN, YING ZHU, R. VISVANATHAN, M. PELLKOFER, AND

T. KOEHLER. A system for traffic sign detection, tracking, and recognition using color, shape, and motion information. Proc. of IEEE Intelligent Vehicles Symp.(IV), pages 255–260, Jun. 2005. 12

REFERENCES

[18] RUZENABAJCSY, SANG WOOK LEE, AND ALES LEONARDIS. Detection of diffuse and specular interface reflections and inter-reflections by color image segmenation. Int;l J. of Computer VisionIJCV,10[4]:210–218, 1996. 17 [19] M. BENALLAL ANDJ. MEUNIER. Real-time color segmentation of road signs.

Proc. IEEE Canadian Conf. Electrical and Computer Engineering(CCECE), 3:1823–1826, May 2003. 11

[20] A. BROGGI, P. CERRI, P. MEDICI, P. P. PORTA, ANDG. GHISIO. Real time road signs recognition. Proc. IEEE Intelligent Vehicles Symp.(IV), pages 981–

986, Jun. 2007. 13

[21] ALBERTO BROGGI, PIETRO CERRI, STEFANO GHIDONI, PAOLOGRISLERI,

ANDHOGIJUNG. A new approach to urban pedestrian detection for automatic braking.IEEE Trans. on Intelligent Transportation Systems(TITS),10[4]:594–

605, Dec. 2009. 2

[22] T. CELIK AND T. TJAHJADI. Automatic image equalization and contrast en-hancement using Gaussian mixture modeling.IEEE Trans. on Image Processing (TIP),21[1]:145–156, 2012. 15,82,113

[23] S.D. CHEN AND A. RAMLI. Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation. IEEE Trans. on Consumer Electronics(TCE),49[4]:1301–1309, Apr. 2003. 14,102, 103,105,112

[24] S.D. CHEN AND A. RAMLI. Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans. on Consumer Electronics (TCE),49[4]:1310–1319, Apr. 2003. 110,113

[25] Z. CHEN, B. ABIDI, D. PAGE, AND M. ABIDI. Gray-level grouping (GLG):

An automatic method for optimized image contrast enhancement – Part I: The

REFERENCES

basic method.IEEE Trans. on Image Processing(TIP),15[8]:2290–2302, Aug.

2006. 15,102,103,105,112

[26] D. COLTUC, P. BOLON, ANDJ-M. CHASSERY. Exact histogram specification.

IEEE Trans. on Image Processing(TIP),15[5]:1143–1152, May 2006. 14,15, 87,102,103,105,112

[27] ARNAUD DARMONT. High Dynamic Range Imaging: Sensors and Architec-tures. SPIE PRESS BOOK, 2013. 16

[28] A. DE LA ESCALERA, J. M. A. ARMINGOL, AND M. MATA. Traffic sign recognition and analysis for intelligent vehicles. Image and Vision Computing, 21[3]:247–258, Mar. 2003. 12

[29] A.DE LAESCALERA, J.M. ARMINGOL, J.M. PASTOR, ANDF.J. RODRGUEZ. Visual sign information extraction and identification by deformable models for intelligent vehicles.IEEE Trans. on Intelligent Transportation Systems(TITS), 15[2]:57–68, Jun. 2004. 12

[30] A. DE LA ESCALERA, L.E. MORENO, M.A. SALICHS, AND J.M. ARMIN

-GOL. Road traffic sign detection and classification. IEEE Trans. on Industrial Electronics.(TIE),44[6]:848–859, Dec. 1997. 11,75,79

[31] KEISUKE DOMAN. Traffic sign detection and recognition toward smart driver assistance. http://cvrr.ucsd.edu/iv2010/phd_files/final/

doman_keisuke_phd.pdf. 2

[32] KEISUKEDOMAN, DAISUKEDEGUCHI, TOMOKAZUTAKAHASHI, YOSHITO

MEKADA, ICHIROIDE, HIROSHIMURASE, ANDYUKIMASA TAMATSU. Es-timation of traffic sign visibility toward smart driver assistance. Proc. of IEEE Intelligent Vehicles Symposium(IV), 2010. 2

[33] M.M. EL-DESOUKI, D. PALUBIAK, M.J. DEEN, QIYIN FANG, AND

REFERENCES

CMOS imager using time-domain single-photon counting and avalanche photo-diodes. IEEE J. of Sensors,11[4]:1078–1083, 2011. 16

[34] L. ESTEVEZ AND N. KEHTARNAVAZ. A real-time histographic approach to road sign recognition. Proc. of IEEE Southwest Symp. on Image Analysis and Interpretation, pages 95–100, Apr. 1996. 11

[35] CHIUNG-YAO FANG, SEI-WANG CHEN, AND CHIOU-SHANN FUH. Road-sign detection and tracking. IEEE Trans. on Vehicular Technology (TVT), 52[5]:1329–1341, Sep. 2003. 12

[36] CHIUNG-YAOFANG, CHIOU-SHANNFUH, P. S. YEN, S. CHERNG, ANDSEI -WANG CHEN. An automatic road sign recognition system based on a compu-tational model of human recognition processing. Computer Vision and Image Understanding,96[2]:237–268, Nov. 2004. 12

[37] L. FLETHER, N. APOSTOLOFF, L. PETERSSON, AND A. ZELINSKY. Vision in and out of vehicles. IEEE Intelligent Systems, 18[3]:12–17, May-Jun. 2003.

10

[38] HASAN FLEYEH. Color detection and segmentation for road and traffic signs.

Proc. of IEEE Conf. Cybernetics and Intelligent Systems (CIS), 2:809–814, Dec. 2004. 12

[39] HASAN FLEYEH. Road and traffic sign color detection and segmentation -a fuzzy -appro-ach. Proc. of 9th IAPR Conf. on Machine Vision Applications (MVA), pages 124–127, May 2005. 12

[40] SALVADOR GABARDA AND GABRIEL CRISTOBAL. Blind image quality as-sessment through anisotropy. J. Optical Society of America, 24[12]:B42–B51, Dec. 2007. 46

REFERENCES

[41] I. GARCIA, S. BRONTE, L. M. BERGASA, J. ALMAZAN, AND J. YEBES. Vision-based drowsiness detector for real driving conditions. Int’l Intelligent Vehicles Symp.(IV), pages 618–623, Jun. 2012. 2

[42] J. GREENHALGH ANDM. MIRMEHDI. Real-time detection and recognition of road traffic signs. IEEE Trans. on Intelligent Transportation Systems (TITS), 13[4]:1498–1506, Dec. 2012. 12

[43] H. GREENSPAN, C.H. ANDERSON, AND S. AKBER. Image enhancement by nonlinear extrapolation in frequency space. IEEE Trans. on Image Processing (TIP),9[6]:1035–1048, Jun. 2000. 14,15

[44] ZAIGUANGJUN ANDLIUYAN. An improved tone mapping algorithm for high dynamic range images.Proc. of Int’l Conf. on Computer Application and System Modeling (ICCASM),2[1]:466–468, 2010. 16

[45] J. HAN, S. YANG, AND B. LEE. A novel 3-D color histogram equalization method with uniform 1-D gray scale histogram.IEEE Trans. on Image Process-ing(TIP),20[2]:506–512, Feb. 2011. 15

[46] GERNOT HOFFMANN. CIELab color space. http://www.color.org/

ROMMRGB.pdf. 4

[47] YONGQING HUO AND QICONG PENG. Evaluation of HDR tone mapped im-age and single exposure imim-age. Proc. of Int’l Conf. on Computational Problem-Solving (ICCP), pages 48–50, 2011. 16

[48] Q. HUYNH-THU AND M. GHANBARI. Scope of validity of PSNR in im-age/video quality assessment. Electronics Letters, 44[13]:800–801, Jun. 2008.

39

[49] H. IBRAHIM AND N.S.P. KONG. Brightness preserving dynamic histogram equalization for image contrast enhancement. IEEE Trans. on Consumer

Elec-REFERENCES

[50] GEORGEH. JOBLOVE ANDDONALDGREENBERG. Color spaces for computer graphics. Computer Graphics,12[3]:20–25, Aug. 1978. 4,5

[51] GEORGEH. JOBLOVE ANDDONALDGREENBERG. Color spaces for computer graphics. Computer Graphics, Aug. 1978. 17

[52] WEN-CHUNG KAO. High dynamic range imaging by fusing multiple raw im-ages and tone reproduction. IEEE Trans. on Consumer Electronics (TCE), 54[1]:10–15, 2008. 16

[53] V. KASTINAKI, M. ZERVAKIS, AND K. KALAITOZAKIS. A survey of video processing techniques for traffic applications. Image and Vision Computing, 21[4]:359–381, Apr. 2003. 11

[54] N. KEHTARNAVAZ ANDA. AHMAD. Traffic sign recognition in noisy outdoor scenes. Proc. of IEEE Intelligent Vehicles Symp. (IV), pages 460–465, Sep.

1995. 12,75,79

[55] CHRISTOPH G. KELLER, THAO DANG, HANS FRITZ, ARMIN JOOS, CLEMENS RABE, AND DARIU M. GAVRILA. Active pedestrian safety by au-tomatic braking and evasive steering. IEEE Trans. on Intelligent Transportation Systems(TITS),12[4]:1292–1304, Dec. 2011. 2

[56] J.Y. KIM, L.S. KIM, AND S.H. HWANG. An advanced contrast enhance-ment using partially overlapped sub-block histogram equalization. IEEE Trans.

on Circuits and Systems for Video Technology(TCSVT), 11[4]:475–484, Apr.

2001. 15

[57] T. KIM ANDH. YANG. A multidimensional histogram equalization by fitting an isotropic Gaussian mixture to a uniform distribution. Proc. of IEEE Int’l Conf.

on Image Processing(ICIP), pages 2865–2868, 2006. 15

REFERENCES

[58] S. VENKATA LAKSHMI, S. SUJATHA, J. JANET, ANDT. BELLARMINE. Anal-ysis of tone mapping operators on high dynamic range images. Proc. of IEEE Southeastcon, pages 1–6, 2012. 16

[59] JOOHYUN LEE, GWANGGIL JEON, AND JECHANG JEONG. Piecewise tone reproduction for high dynamic range imaging. IEEE Trans. on Consumer Elec-tronics (TCE),55[2]:911–918, 2009. 16

[60] K.F. LEE AND BEI TANG. Image processing for in-vehicle smart cameras.

Proc. of IEEE Intelligent Vehicles Symposium(IV), pages 76–81, 2006. 2

[61] W. LIU, X. CHEN, B. DUAN, H. DONG, P. FU, H. TUAN, AND H. ZHAO. A system for road sign detection, recognition and tracking based on multi-cues hybrid. Proc. of IEEE Intelligent Vehicles Symp. (IV), pages 562–567, Jun.

2009. 12

[62] SHANGCHANG MA. Automatic driving system based on embedded microcon-troller using human skill models. J. of Computer, pages 351–358, Feb. 2011.

2

[63] S. MALDONADO-BASCON, S. LAFUENTE-ARROYO, P. GIL-JIMENEZ, H. GOMEZ-MORENO, AND F. LOPEZ-FERRERAS. Road-sign detection and recognition based on support vector machines.IEEE Trans. on Intelligent Trans-portation Systems(TITS),8[2]:264–278, Jun. 2007. 12,75,79

[64] J. MIURA, T. KANDA, ANDY. SHIRAI. An active vision system for real-time traffic sign recognition.Proc. of IEEE Intelligent Transportation Systems(ITS), pages 52–57, Oct. 2000. 12

[65] SHIGEHARU MIYATA1, TAKASHI NAKAGAMI, SEI KOBAYASHI, TOMOJI

IZUMI, HISAYOSHINAITO, AKIRAYANOU, HITOMINAKAMURA,ANDSHIN

TAKEHARA. Improvement of adaptive cruise control performance. EURASIP J. on Advances in Signal Processing, 2010. 2

REFERENCES

[66] DAISUKE MIYAZAKI, ROBBY T. TAN, KENJI HARA, AND KATSUSHI

IKEUCHI. Polarization-based inverse rendering from a single image. Proc. of Int’l Conf. on Computer VisionCVPR, pages 982–987, 2003. 17,19,20

[67] J. MUKHERJEE ANDS. MITRA. Enhancement of color images by scaling the DCT coefficients.IEEE Trans. on Image Processing(TIP),17[10]:1783–1794, Oct. 2008. 102,103,105,112

[68] M. NILSSON, M. DAHL, ANDI. CLAESSON. Gray-scale image enhancement using the SMQT. Proc. of IEEE Int’l Conf. on Image Processing (ICIP), 1:I–

933–6, 2005. 14

[69] H. OHARA, I. NISHIKAWA, S. MIKI, AND N. YABUKI. Detection and recog-nition of road signs using simple layered neural networks. Proc. of 10th Int’l Conf. on Neural Information Processing(ICONIP),2:626–630, Jun. 2003. 12

[70] YU0ICHU OHTA, TAKEO KANADE, AND TOSHIYUKI SAKAI. Color infor-mation for region segmentation. Computer Graphics and Image Processing, 13:222–241, 1980. 17,19,20

[71] P. PACLK, J. NOVOVICOVA, P. PUDIL, AND P. SOMOL. Road sign clas-sification using Laplace kernel classifier. Pattern Recognition Letter, 21[13-14]:1165–1173, Dec. 2000. 12

[72] A. PARDO ANDG. SAPIRO. Visualization of high dynamic range images. IEEE Trans. on Image Processing (TIP),12[6]:639–647, 2003. 16

[73] S.C. PEI, Y.C. ZENG, AND J.J. DING. Color images enhancement using weighted histogram separation. Proc. of IEEE Int’l Conf. on Image Process-ing(ICIP), pages 2889–2892, 2006. 14,15

[74] S.M. PIZER, E.P. AMBUM, J.D. AUSTIN, R. CROMARTIE, A. GESELOWITZ, T. GREER, B.T.H. ROMENY, J.B. ZIMMERMAN, AND K. ZUIDERVELD.

REFERENCES

Adaptive histogram equalization and its variations. Computer Graphics and Image Processing,39[4]:355–368, Sep. 1987. 13,14

[75] GUOPING QIU, YUJIE MEI, KIN MAN LAM, AND MIN QIU. Tone mapping HDR images using optimization: A general framework. Proc. of IEEE Int’l Conf. on Image Processing (ICIP), pages 3129–3132, 2011. 16

[76] M. M. RASHID, A. MUSA, M. ATAUR RAHMAN, N. FARAHANA, AND

A. FARHANA. Automatic parking management system and parking fee col-lection based on number plate recognition. Int’l J. of Machine Learning and Computing(IJMLC),2[2]:93–98, Apr. 2012. 2

[77] M. O. REZA, M. F. ISMAIL, A. A. ROKONI, AND M. A. R. SARKER. Smart parking system with image processing facility. Int’l J. of Intelligent System and Application(IJISA),3:41–47, Apr. 2012. 2

[78] IAN RICHES. Automative advanced driver assistance systems. http:

//on-demand.gputechconf.com/gtc/2013/presentations/

S3413-Advanced-Driver-Assistance-Systems-ADAS.pdf. 2

[79] NADRA BEN ROMDHANE, MOHAMED HAMMAMI, AND HANENE BEN -ABDALLAH. A generic obstacle detection method for collision avoidance.Proc.

of IEEE Intelligent Vehicles Symp.(IV), pages 491–496, Jun. 2011. 2

[80] ANDRZEJRUTA, YONGMINLI, FATIHPORIKLI, SHINTAROWATANABE, HI

-ROSHI KAGE, AND KAZUHIKO SUMI. A new approach for in-vehicle camera traffic sign detection and recognition. 2

[81] ANDRZEJ RUTA, FATIH PORIKLI, SHINTARO WATANABE, AND YONGMIN

LI. In-vehicle camera traffic sign detection and recognition. Machine Vision and Applications,22[2]:359–375, Mar. 2011. 2

REFERENCES

[82] SUNDAR GANESH C. S. AND JOSEPH MATHEW K. Intelligent speed control system for automobiles. Int’l J. of New Trends in Electronics and Communica-tion(IJNTEC),1[2]:1–4, Sep. 2013. 2

[83] D. SEN AND S.K. PAL. Automatic exact histogram specification for contrast enhancement and visual system based quantitative evaluation. IEEE Trans. on Image Processing(TIP),20[5]:1211–1220, 2011. 14,15

[84] C.E. SHANNON. A mathematical theory of communication. Bell System Tech-nical Journal,27:379–423, 1948. 113

[85] J.A. STARK. Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Trans. on Image Processing (TIP), 9[5]:889–

896, May 2000. 14

[86] TSUNG-YING SUN, SHANG-JENG TSAI, JIUN-YUAN TSENG, AND YEN -CHANG TSENG. The study on intelligent vehicle collision-avoidance system with vision perception and fuzzy decision making. Proc. of IEEE Intelligent Vehicles Symp.(IV), pages 112–117, Jun. 2005. 2

[87] J. TANG, E. PELI, AND S. ACTON. Image enhancement using a contrast mea-sure in the compressed domain. IEEE Signal Processing Letter, 10[10]:289–

292, Oct. 2003. 102,103,105,112

[88] L. TIAN AND SEI ICHIRO KAMATA. Image enhancement by analysis on em-bedded surfaces of images and a new framework for enhancement evaluation.

IEICE Trans. on Information and Systems,E91-D[7]:1946–1954, Jul. 2008.110

[89] RAFELTOLEDO-MOREO AND MIGUEL A. ZAMORA-LZQUIERDO. Collision avoidance support in roads with lateral and longitudinal maneuver prediction by fusing GPS/IMU and digital maps. Transportation Research Part C: Emerging Technologies,18[4]:611–625, Aug. 2010. 2

REFERENCES

[90] L. W. TSAI, J. W. HSIEH, C. H. CHUANG, Y. J. TSENG, K. C. FAN, AND

C. C. LEE. Road sign detection using eigen colour. IET Computer Vision, 2[3]:164–177, Sep. 2008. 12,75,79

[91] W. VELDKAMP AND N. KARSSEMEIJER. Normalization of local contrast in mammograms. IEEE Trans. on Medical Imaging (TMI), 19[7]:731–738, Jul.

2000. 102,103,105,112

[92] S. VITABILE, G. POLLACCIA, G. PILATO, AND E. SORBELLO. Road signs recognition using a dynamic pixel aggregation technique in the HSV color space.Proc. of IEEE Int’l Conf. Image Analysis and Processing(ICIAP), pages 572–577, Sep. 2001. 12

[93] ESRA VURAL, MJDAT ETIN, AYTL ERIL, GWEN LITTLEWORT, MARIAN

BARTLETT, AND JAVIER MOVELLAN. Automated drowsiness detection for improved driving safety. Int’l Conf. on Automotive Technologies(ICAT), Nov.

2008. 2

[94] XIULING WANG, W. WONG, AND R. HORNSEY. A high dynamic range CMOS image sensor with inpixel light-to-frequency conversion. IEEE Trans.

on Electron Devices (TED),53[12]:2988–2992, 2006. 16

[95] Z. WANG AND A.C. BOVIK. Universal image quality index. IEEE Signal Processing Letter,9[3]:81–84, 2002. 113

[96] Z. WANG AND A.C. BOVIK. Mean squared error: love it or leave it? IEEE Signal Processing Magazine,26[1]:98–117, 2009. 113

[97] ZHOU WANG, ALAN C. BOVIK, HAMID R. SHEIKH, AND EERO P. SIMON

-CELLI. Image quality assessment: from error visibility to structural similairty.

IEEE Trans. on Image Processing(TIP),13[4]:600–612, Apr. 2004. 39,113

[98] SANJAY S. WANKHEDE, M. M. KHANAOURKAR, V. R. RATHEE, AND P. R.

REFERENCES

brid controller. Int’l Conf. on Emerging Trends in Engineering and Technology (ICETET), pages 593–597, Dec. 2009. 2

[99] K. ZHANG, Y. SHENG, AND J. LI. Automatic detection of road traffic signs from natural scene images based on pixel vector and central projected shape feature. IET Intelligent Transport Systems,6[3]:282–291, Aug. 2012. 12 [100] QIESHI ZHANG AND SEI ICHIRO KAMATA. Automatic road sign detection

method based on color barycenters hexagon model. Proc. of 19th Int’l Conf. on Pattern Recognition(ICPR), pages 1–4, Dec. 2008. 20,22,27,52,61,69,79

[101] QIESHI ZHANG AND SEI ICHIRO KAMATA. Pixel color feature enhancement for road signs detection. Proc. of Int’l Conf. on Digital Image Processing ICDIP,7546[1N]:1–6, Feb. 2010. 27

[102] QIESHI ZHANG AND SEI ICHIRO KAMATA. A histogram separation and map-ping framework for image contrast enhancement. IPSJ Trans. on Computer Vision and Applications (TCVA), 4:100–107, Sep. 2012. 80, 102, 103, 105, 112

[103] QIESHI ZHANG ANDSEI ICHIROKAMATA. A novel color descriptor for road-sign detection. IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences,E96-A[5]:971–979, May 2013. 20, 22, 27,43,52,61, 64,66,69,79

[104] QIESHI ZHANG AND SEI ICHIRO KAMATA. Color barycenter model based multi-histogram mapping and merging for image enhancement. Proc. of 13th IAPR Int’l Conf. on Machine Vision Applications(MVA), pages 238–241, May 2013. 80,92,102,103,105

[105] QIESHI ZHANG AND SEI ICHIROKAMATA. Improved color barycenter model and its segmentation for road sign detection. IEICE Trans. on Information and Systems,E96-D[12]:2839–2849, Dec. 2013. 21,22,52,79

REFERENCES

[106] QIESHI ZHANG AND SEI ICHIROKAMATA. Improved color barycenter model for road-sign detection. Proc. of 13th IAPR Int’l Conf. on Machine Vision Ap-plications(MVA), pages 93–96, May 2013. 21,22,52

[107] QIESHI ZHANG, HIROSHI INABA, AND SEI ICHIROKAMATA. Adaptive his-togram analysis for image enhancement. Proc. of 4th Pacific-Rim Symp. on Image and Video Technology(PSIVT), pages 408–413, Nov. 2010. 80

[108] QIESHI ZHANG, JUN ZHANG, AND SEI ICHIRO KAMATA. Color barycenter hexagon model based road sign detection. Proc. of Int’l Multi-Conf. of Engi-neers and Computer Scientists (IMECS), 1:667–670, Mar. 2008. 20, 22, 27, 52,57,61,69,75

List of Publications

Journal Papers:

1. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Improved Color Barycenter Model for Road Sign Detection,” IEICE Transactions on Information and Systems, Vol.E96-D, No.12, pp.2839-2849, December 2013.

2. Qieshi ZHANG, and Sei-ichiro KAMATA, ”A Novel Color Descriptor for Road-Sign Detection,” IEICE Transactions on Fundamentals of Electronics, Commu-nications and Computer Sciences, Vol.E96-A, No.5, pp.971-979, May 2013.

3. Qieshi ZHANG, and Sei-ichiro KAMATA, ”A Histogram Separation and Map-ping Framework for Image Contrast Enhancement,” IPSJ Transactions on Com-puter Vision and Applications (TCVA), Vol.4, pp.100-107, September 2012.

4. Qieshi ZHANG, Sei-ichiro KAMATA, and Alireza AHRARY, ”Interscale Stein’s Unbiased Risk Estimate and Intrascale Feature Patches Distance Constraint for Image Denoising,” IEICE Transactions on Fundamentals of Electronics, Com-munications and Computer Sciences, Vol.E93-A, No.8, pp.1434-1441, August 2010.

International Conference Papers:

5. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Color Barycenter Model based Multi-Histogram Mapping and Merging for Image Enhancement,” Proceedings of 13th IAPR International Conference on Machine Vision Applications, pp.238-241, May 2013.

6. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Improved Color Barycenter Model for Road-Sign Detection” Proceedings of 13th IAPR International Conference on Machine Vision Applications, pp.93-96, May 2013.

7. Qieshi ZHANG, Sei-ichiro KAMATA, ”Visibility Restoration from Single Im-age based Optical Model,” Proceedings of 7th International Conference on Com-puter Vision Theory and Application, Vol.1, pp.213-216, February 2012.

8. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Single Image based Haze Removal Method,” Proceedings of International Conference on Computer and Electrical Engineering, pp.365-369, October 2011.

9. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Maniflod Learning Based on Multi-Features for Road-Sign Recognition,” Proceedings of 50th SICE Annual Con-ference, pp.1143-1146, September 2011.

10. Qieshi ZHANG, Hiroshi INABA, and Sei-ichiro KAMATA, ”Adaptive Histogram Analysis for Image Enhancement,” Proceedings of 4th Pacific-Rim Symposium on Image and Video Technology, pp.408-413, November 2010.

11. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Pixel Color Feature Enhancement for Road Signs Detection,” Proceedings of International Conference on Digital Image Processing, Vol.7546, No.1N, pp.1-6, February 2010.

12. Qieshi ZHANG, and Sei-ichiro KAMATA, ”Stein?s Unbiased Risk Estimate (SURE) and Distance Constraint Combine Image Denoising in Wavelet Do-main,” Proceedings of 7th IASTED International Conference on Signal Process-ing, Pattern Recognition and Applications, pp.196-201, February 2010.

13. Qieshi ZHANG, Sei-ichiro KAMATA, and Jun ZHANG, ”Face Detection and Tracking in Color images Using Color Centroids Segmentation,” Proceedings of IEEE International Conference on Robotics and Biomimetics, pp.1008-1013, February 2009.

関連したドキュメント