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Volumn 7, Issue 10, 2011, Pages 5771-5787

Objects extraction algorithm of color image using adaptive forecasting filters created automatically

Author keywords

Adaptive; And Intensity); Green and Blue); HSI(Hue; RGB (Red; Saturation

Indexed keywords

ADAPTIVE; AND INTENSITY); GREEN AND BLUE); HSI(HUE; RGB (RED;

EID: 80053498371     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (23)
  • 4
    • 77953902138 scopus 로고    scopus 로고
    • A new method for vehicle license plate character segmentation
    • M. Pan. J. Tang, Q. Xiong and W. Tan, A new method for vehicle license plate character segmentation. ICIC Express Letters, vol.4, no.3(A), pp.607-614. 2010.
    • (2010) ICIC Express Letters , vol.4 , Issue.3 A , pp. 607-614
    • Pan, M.1    Tang, J.2    Xiong, Q.3    Tan, W.4
  • 5
    • 9544229696 scopus 로고    scopus 로고
    • Color image segmentation based on adaptive local thresholds
    • E. Navon, O. Miller and A. Averbuch, Color image segmentation based on adaptive local thresholds. Image and Vision Computing, vol.23, no.1, pp.69-85. 2005.
    • (2005) Image and Vision Computing , vol.23 , Issue.1 , pp. 69-85
    • Navon, E.1    Miller, O.2    Averbuch, A.3
  • 6
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • N. R. Pal and S. K. Pal. A review on image segmentation techniques. Pattern Recognition, vol.26. no.9, pp.1277-1294, 1993.
    • (1993) Pattern Recognition , vol.26 , Issue.9 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 7
    • 0035498657 scopus 로고    scopus 로고
    • Color image segmentation using histogram multithresholding and fusion
    • F. Kurugollu. B. Sankur and A. Harmanci. Color image segmentation using histogram multithresholding and fusion. Image and Vision Computing, vol.19. pp.915-928, 2001.
    • (2001) Image and Vision Computing , vol.19 , pp. 915-928
    • Kurugollu, F.1    Sankur, B.2    Harmanci, A.3
  • 8
    • 0034310509 scopus 로고    scopus 로고
    • Regularized color clustering in medical image database
    • C. H. Li and P. C. Yuen, Regularized color clustering in medical image database, IEEE Transactions on Medical Imaging, vol.19, no.11, pp.1150-1155, 2000.
    • (2000) IEEE Transactions on Medical Imaging , vol.19 , Issue.11 , pp. 1150-1155
    • Li, C.H.1    Yuen, P.C.2
  • 10
    • 0036529858 scopus 로고    scopus 로고
    • Color image segmentation using a self-organizing map algorithm
    • H. Huang, Y. Chen and W. Hsu. Color image segmentation using a self-organizing map algorithm. Journal of Electronic Imaging, vol.11, no.2. pp.136-148. 2002.
    • (2002) Journal of Electronic Imaging , vol.11 , Issue.2 , pp. 136-148
    • Huang, H.1    Chen, Y.2    Hsu, W.3
  • 11
    • 0036466908 scopus 로고    scopus 로고
    • Color image segmentation based on hamogram thresholding and region merging
    • H. D. Cheng. X. H. Jiang and J. Wang. Color image segmentation based on hamogram thresholding and region merging. Pattern Recognition, vol.35, pp.373-393, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 373-393
    • Cheng, H.D.1    Jiang, X.H.2    Wang, J.3
  • 12
    • 0036505043 scopus 로고    scopus 로고
    • Novel technique for multirosolution color image segmentation
    • J. Gao, J. Zhang and M. Fleming, Novel technique for multirosolution color image segmentation, Optical Engineering, vol.41, no.3, pp.608-614, 2002.
    • (2002) Optical Engineering , vol.41 , Issue.3 , pp. 608-614
    • Gao, J.1    Zhang, J.2    Fleming, M.3
  • 13
  • 14
    • 0035334670 scopus 로고    scopus 로고
    • Physics-based colour image segmentation for scenes containing vegetation and soil
    • C. M. Onyango and J. A. Marchant, Physics-based colour image segmentation for scenes containing vegetation and soil, Image and Vision Computing, vol.19. pp.523-538. 2001.
    • (2001) Image and Vision Computing , vol.19 , pp. 523-538
    • Onyango, C.M.1    Marchant, J.A.2
  • 15
    • 0036466915 scopus 로고    scopus 로고
    • Color image segmentation an innovative approach
    • T. Q. Chen and Y. Lu, Color image segmentation an innovative approach, Pattern Recognition, vol.35, pp.395-405, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 395-405
    • Chen, T.Q.1    Lu, Y.2
  • 16
    • 9544234464 scopus 로고    scopus 로고
    • Color image segmentation based on three levels of texture statistical evaluation
    • J. B. Mona and J. A. Malpica, Color image segmentation based on three levels of texture statistical evaluation, Applied Mathematics and Computation, vol.161, no.1, pp.1-17, 2005.
    • (2005) Applied Mathematics and Computation , vol.161 , Issue.1 , pp. 1-17
    • Mona, J.B.1    Malpica, J.A.2
  • 17
    • 0030189394 scopus 로고    scopus 로고
    • Unsupervised segmentation of textured images
    • P. Jaehyun and K. Ludwik, Unsupervised segmentation of textured images, Information Sciences, vol.92, no.1-4, pp.255-276, 1996.
    • (1996) Information Sciences , vol.92 , Issue.1-4 , pp. 255-276
    • Jaehyun, P.1    Ludwik, K.2
  • 19
    • 70349323317 scopus 로고    scopus 로고
    • Interactive image segmentation by maximal similarity based region merging
    • J. Ning, L. Zhang, D. Zhang and C. Wu, Interactive image segmentation by maximal similarity based region merging, Pattern Recognition, vol.43, pp.445-456, 2010.
    • (2010) Pattern Recognition , vol.43 , pp. 445-456
    • Ning, J.1    Zhang, L.2    Zhang, D.3    Wu, C.4
  • 20
    • 0032655745 scopus 로고    scopus 로고
    • Significance-link connected component analysis for wavelet image coding
    • B. B. Chai, J. Vass and X. Zhuang, Significance-link connected component analysis for wavelet image coding, IEEE Trans, on Image Processing, vol.8, no.6, pp.774-784, 1999.
    • (1999) IEEE Trans, on Image Processing , vol.8 , Issue.6 , pp. 774-784
    • Chai, B.B.1    Vass, J.2    Zhuang, X.3
  • 21
    • 80053510225 scopus 로고    scopus 로고
    • Color image compression using PCA and back propagation learning
    • C. Clausen and H. Wechsler, Color image compression using PCA and back propagation learning, Pattern Recognition, vol.33, pp.555-1560, 2007.
    • (2007) Pattern Recognition , vol.33 , pp. 555-1560
    • Clausen, C.1    Wechsler, H.2
  • 22
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • M. Sezgin and B. Sankur, Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, vol.13, no.1, pp.146-165, 2004.
    • (2004) Journal of Electronic Imaging , vol.13 , Issue.1 , pp. 146-165
    • Sezgin, M.1    Sankur, B.2
  • 23
    • 77549085753 scopus 로고    scopus 로고
    • Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers
    • M. H. Horng, Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers, Expert Systems with Applications, vol.37, pp.4146-4155, 2010.
    • (2010) Expert Systems with Applications , vol.37 , pp. 4146-4155
    • Horng, M.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.