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        Structure theorem of solutions for flat dilation and flat erosion equations

        2016-12-02 05:49:50WANGYuqingGUOQi
        關(guān)鍵詞:方程解二值國(guó)家自然科學(xué)基金

        WANG Yuqing,GUO Qi

        (School of Mathematics and Physics,SUST,Suzhou 215009,China)

        Structure theorem of solutions for flat dilation and flat erosion equations

        WANG Yuqing,GUO Qi*

        (School of Mathematics and Physics,SUST,Suzhou 215009,China)

        In this article,we studied the flat dilation equations and the flat erosion equations.Necessary and sufficient conditions for the existence of solutions for these equations were given.In addition,we presented the structure theorem of solutions for these equations.Finally,we generalized the results for binary dilation equations and binary erosion equations.

        flat dilation;flat erosion;dilation equation;structure of solution

        1 Introduction

        Let(G,+)be an abelian group and P(G)denote the power set of G,i.e.P(G):={A|A?G}.Clearly P(G)is a(complete)lattice under the usual inclusion order of sets.In mathematical morphology,each A∈P(G)is called a binary(or black-white)image and so P(G)is just the collection of all binary images([1]).

        For a fixed B∈P(G),two well-known morphological operators(image trans-formations):δB(·)and εB(·)on P(G),called the dilation and the erosion(with respect to the Minkowski addition)respectively,are defined respectively by

        where A+B:={a+b|a∈A,b∈B},the Minkowski addition of sets,and we take the convention that φ+B=φ,A+φ=φ for all A,B∈P(G)(see[2]).

        It is known that δBand εBare adjunctive with each other in the sense that δB(A1)≤A2iff A1≤εB(A2),and also that the composition operator η:=δB?εBis an opening,i.e.it is increasing(A≤B?η(A)≤η(B)),anti-extensive(η(A)≤A)and idempotent(η?η=η)(see[2-3]).

        For the application of mathematical morphology,in particular,in image processing and analysis,the so-called(binary)dilation equation

        is of great significance since it concerns the way to find all the pre-images from a known image,where B,C∈P(G)and X∈P(G)is the unknown variable.

        Equation(1)was carefully studied in[4]by J.E.S.Castro,R.F.Hashimoto and J.Barrera.Under the assumption that G is finite,they provided a necessary and sufficient condition for(1)to have solutions and more importantly they gave the structure of all solutions.

        In this paper,we are going to extend the study to gray-scale flat dilation equations and gray-scale flat erosion equations(see below for definitions).Even though the task here is obviously more complicated,we have luckily obtained the same results as those in[4].

        2 Preliminaries

        Given an abelian group(G,+),denote by L(G)the family of gray-scale images on G,namely

        (where the interval[0,1]can be replaced by any other intervals,finite or not).Each f∈L(G)is called a grayscale image.L(G)is a(complete)lattice under the usual pointwise order of functions([5]).

        For A?G,denote by χAits characteristic function,i.e.χA(x)=1(if x∈A)or 0(if x?A).Clearly χA∈L(G)for any A?G.Thus,if identifying a set A with its characteristic function χA,we have P(G)?L(G).

        For a fixed χB∈L(G),we define the flat-dilationand the flat-erosionon L(G)respectively by,for any f∈L(G),

        where χBis called the structure element of(see[6-7]for another sort of definitions of flat dilation and flat erosion).It is easy to check that bothare increasing operators on L(G).

        Observe that if f=χA(A∈P(G)),then it is easy to check that

        which goes back equivalently to the binary dilation δB(A)=A+B.Similarly,we have thatgoes back equivalently to εB(A)for characteristic functions.

        Let χB,h∈L(G).In this paper,we study the flat-dilation equation

        where f∈L(G)is unknown variable.From the discussion above,we know that when h=χCand f is restricted to the black-white images,i.e.f=χXfor some X?G,then equation(2)reduces to(1).

        The following result will be needed later,which shows that the relation betweenis similar to that betweenare adjunctive pair.

        Theorem 1For any f,h∈L(G),δχB(f)≤h iff f≤εχB(h).

        Then,for any x∈G,y∈B,f(x-y)≤h(x),or equivalently by setting z=x-y,for any y∈B,z∈G,

        Thus,by the arbitrariness of y∈B,we get,for each z∈G,

        i.e.f≤εχB(h).

        Conversely,if f≤εχB(h),i.e.f(x)≤εχB(h)(x)for all x∈G,or

        Hence,for any x∈G,y∈B,f(x)≤h(x+y),or equivalently by setting z=x+y,for any y∈B,z∈G,

        which,by the arbitrariness of y,leads to,for each z∈G,

        3 The existence and the structure of solutions

        In this section,we give first a necessary and sufficient condition for the existence of solution and then the structure of solutions of equation(2).

        We start with a simple but useful proposition.

        Proposition 1If f∈L(G)is a solution of(2),then f≤εχB(h).

        Proof.Suppose that f∈L(G)is a solution of(2),i.e(f)=h,then(viewing(f)=h as(f)≤h,f≤ εχB(h)by Theorem 1.□

        Next theorem gives a necessary and sufficient condition for the existence of solution.

        Theorem 3Let h,χB∈L(G).Then(2)has solution iff εχB(h)is its solution.

        Proof.The sufficiency is trivial.Now,suppose that(2)has a solution f,then,(h)by Proposition 1, from which and Theorem 2,it follows that

        Remark 1Proposition 1 and Theorem 3 imply that if(2)has solution,thenmust be the largest one.

        Now,we consider the structure of solutions of(2).To make things easier,from now on we assume that

        Such an assumption looks somehow restrictive,but it is practical:what we get in this paper under this assumption is enough for applications.In fact,in image processing or image analysis,the functions representing image are often assumed to admit finitely many values(e.g.integers form 0 to 255,see[8]).

        Under the assumption(*),we see that,for any f,χB∈L(G)and x∈G,

        i.e.the supremum in the definition of dilations is attainable.Thus,if f is a solution of(2),then for any x∈G,

        is not empty since h=δχB(f).We write simply Ω(x)instead of ΩεχB(h)(x).It is easy to check that

        The following proposition shows the connection between Ω(x)and the general Ωf(x).

        Proposition 2Let f be a solution of(2).Then we have,for any x∈G,

        The following theorem shows that if(2)has solution,then all the elements in Φ(χB,h)are solutions.

        Theorem 4Let χB,h∈L(G).If(2)has solution,then all φw∈Φ(χB,h)are solutions,i.e.

        Proof.Since(2)has solution,Ω(x)≠φ for all x∈G.

        Finally,we present the structure theorem for solutions of(2).

        Theorem 5Let χB,h∈L(G).Suppose that(2)has solution,then f∈L(G)is a solution iff φw≤f≤εχB(h)for some φw∈Φ(χB,h).

        Proof.We start with the sufficiency.If φw≤f≤εχB(h),then

        So δχB(f)=h.

        Conversely,if f is a solution of(2),then(h)by Proposition 1.Then,we choose yx*∈Ωf(x)for each x∈G and denote w*:=(yx*)x∈G.By Proposition 2,,so φw*∈Φ(χB,h).By the definition of φw*and Proposition 2 again,we have φw*≤f.□

        Remark 21oWhen h=χC,then

        from which it is easy to see that Theorem 5 reduces to the Theorem 3 in[1].

        2oLet Φ*(χB,h)denote the set of minimal elements in Φ(χB,h).Then Theorem 4 and 5 state actually that f is a solution of(2)iff f locates between a minimal element(in Φ*(χB,h))and the largest solution εχB(h).

        At the end,we point out that with an analogical argument,we have similar results for the erosion equation

        where χB,h∈L(G)and f∈L(G)is unknown variable.More precisely,we have the following theorems.

        Theorem 6Erosion equation(3)has solution iff δχB(h)is(the smallest)solution.

        Furthermore,suppose that(3)has solution and(*)holds,then writing,for x∈G,

        Theorem 7Let χB,h∈L(G).Suppose that(3)has solution,then f∈L(G)is a solution iff(h)≤f≤ψwfor some ψw∈ψ(χB,h).

        Final RemarkProbably,the assumption(*)can be omitted so that the conclusions in this paper still hold.We leave this work to another paper.

        [1]SERRA J.Image Analysis and Mathematical Morphology[M].London:Academic Press,1982.

        [2]KISELMAN C O.Digital geometry and mathematical morphology[EB/OL].[2013-03-16].http://www2.math.uu.se/kiselman/dgmm2004.pdf.

        [3]SERRA J.A lattice approach to image segmentation[J].J MathImaging Vis,2006,24(1):83-130.

        [4]CASTRO J E S,Hashimoto R F,Barrera J.Analytical solutions for the minkowski addition equation[J].LNCS,2013,7883:61-72.

        [5]BIRKHOFF G.Lattice Theory[M].Providence:American Mathematical Society,1948.

        [6]MOLCHNOVIS,TERAN P.Distance transforms for real-valued functions[J].J Math Anal Appl,2002,278(2):472-484.

        [7]DENG T Q,HEIJMANS H.Grey-scale morphology based on fuzzy logic[J].Journal of MathematicalImaging and Vision,2002,16(2):155-171.

        [8]SOILLE P.形態(tài)學(xué)圖像分析原理與應(yīng)用[M].王小鵬,譯.北京:清華大學(xué)出版社,2008.

        平坦膨脹和平坦腐蝕方程解的結(jié)構(gòu)定理

        王宇青,國(guó)起
        (蘇州科技大學(xué)數(shù)理學(xué)院,江蘇蘇州215009)

        研究平坦膨脹方程和平坦腐蝕方程,給出了這兩類方程解存在的充分必要條件,并建立了相應(yīng)的解的結(jié)構(gòu)定理。推廣了有關(guān)二值膨脹方程和二值腐蝕方程的相應(yīng)結(jié)論。

        平坦膨脹;平坦腐蝕;膨脹方程;解的結(jié)構(gòu)

        2015-04-01

        國(guó)家自然科學(xué)基金資助項(xiàng)目(11271282)

        王宇青(1988-),女,河南洛陽(yáng)人,碩士研究生,研究方向:數(shù)學(xué)形態(tài)學(xué)。

        O29;O153.1MR(2000)Subject Classification:16H99;52C99;54A99

        A

        1672-0687(2016)04-0018-05

        責(zé)任編輯:謝金春

        *通信聯(lián)系人:國(guó)起(1957-),男,教授,博士,碩士生導(dǎo)師,E-mail:guoqi@mail.usts.edu.cn。

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