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REFERENCES
1) Masoud Alghoniemy and Ahmed H. Tewfik, Geometric Distortion orrection
through !mage "ormali#ation $ !%%% Trans. &ol ''. 1(1*1(+, (
() M. %mre ele-i and . Al' Aslandogan, A om'arati/e study of three
moment -ased sha'e descri'tors $, 0attern recognition.
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5) D. 6. 7hang and G. 8u. 9ontent*:ased 6ha'e ;etrie/al !M%(1), ''.51?*5(, Tokyo,
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intelligence, /ol. 1, '' +B*315, Culy 1.
3) Heloise Hse and A. ;ichard "ewton, 6ketched 6ym-ol ;ecognition
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) 6.Ghosal and ;. Mehrotra , 7ernike moment*:ased Eeature Detectors$,
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!n/ariants$, !%%% Trans. 0attern Analysis and machine intelligence, '' ?5*
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1();amakrishnan Mukundan, A "ew lass f ;otational !n/ariants @une 1(). Ado-e De/elo'ers Association.
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() A. MarionAn Introduction to Image Processing, ha'man and Hall, 11,ha'. B.
(1) R. Boyle and R. Thomas Computer Vision: A First Course, :lackwell6cientific 0u-lications, 1, ha' +.
(() E. DaviesMachine Vision: Theory, Algorithms and PracticalitiesAcademic0ress, 1, ha' +.
(5) A. MarionAn Introduction to Image Processing, ha'man and Hall, 11.ha' 3.
(+) D. VernonMachine Vision, 0rentice*Hall, 11, ' +
(3) !mage enhancement -y histodigram hy'err-oli#ation.
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(B) om'arati/e 0erformance 6tudy of 6e/eral Glo-al Thresholding
Techniues for 6egmentation
WWW Version!egmentation, "#aluation, Thresholding, "#aluation,
om'ares 3 different techniues >6ee also Minimum %rror Thresholding,
6ee also Threshold 6election Method from Grey*8e/el Histograms, A. 6ee
also "ew Method for Gray*8e/el 0icture Thresholding
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0erformance 6tudy of 6e/eral Glo-al Thresholding Techniues for
6egmentation, A. :i-;ef (1.
() Fes#ka, @.6., "agal, ;."., and ;osenfeld, A., A Threshold 6election
Techniue, T>(5), 1?+, ''. 15((*15(B. :i-;ef ?+. %arlier
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