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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.

    htt'22www.emre.uta.edu2'u-lications2!T(34(.'df

    5) D. 6. 7hang and G. 8u. 9ontent*:ased 6ha'e ;etrie/al !M%(1), ''.51?*5(, Tokyo,

    @a'an, August ((*(3, (1.

    +) ho*Huak Teh and ;.T hin Mem-er !%%%, n image analysis -y the

    methods of moments$, !%%% Trans. 0attern Analysis and machine

    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$,

    !%%% Trans. , '' 5+*5, 1+.

    1)A. 0adilla, A. Martine#*;amire# and E.Granados*Agustin, Digital !mage

    ;econstruction -y using 7ernike moments $, 0attern recognition, (5.

    htt'22www*o'tica.inaoe'.m=2 in/estigadores2a'adilla2memoria1.'df

    11)Masoud Alghoniemy and Ahmed H. Tewfik, !mage Fatermarking -y Moment

    !n/ariants$, !%%% Trans. 0attern Analysis and machine intelligence, '' ?5*

    ?B, (.

    1();amakrishnan Mukundan, A "ew lass f ;otational !n/ariants @une 1(). Ado-e De/elo'ers Association.

    www.ado-e.com2 6u''ort2Tech"otes.html

    13)htt'22home'ages.inf.ed.ac.uk2r-f2&online28A840!%626H

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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.

    G!0 >B), "o 5 @une 1?, ''.(B*(+, :i-;ef??B.

    (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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