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1.applylut
' n7 b. z* z6 P/ I5 [功能:
' L1 c1 X$ x" d: O0 u在二进制图像中利用lookup表进行边沿操作.- t. e- a; [. w& h) a; \ y
语法:5 s1 y. E3 H! |: V; _' @
A = applylut(BW,lut)3 X3 D' Z9 S" Q, Q9 B
举例
6 ^3 y, e# ~- Z: k$ C* }( [lut = makelut('sum(x( : )) == 4 ',2);
, A% }' i% ] W" _/ ]BW1 = imread('text.tif');) v9 q$ X9 o6 W; ]
BW2 = applylut(BW1,lut);: P9 `2 F4 x& z7 f4 E3 Q! n
imshow(BW1)
0 e ]8 u2 R1 ~. vfigure, imshow(BW2)
* W) L1 i% i) y) Z) `: A# d( y相关命令:
. F j. S9 ^! T3 i* K& Cmakelut
5 K0 U0 p+ o8 c3 S/ T }! e- o7 a2 L
. C0 g$ z9 b$ G
! A) M8 U$ L$ n5 Q& R2.bestblk& y+ _; G5 V7 f
功能:
! C5 i5 f7 D( s% ~1 S* W确定进行块操作的块大小.
- v: N4 \5 L5 D% K语法:
" X1 ^; L, ]! r: X0 q0 {siz = bestblk([m n],k)
- o A0 S+ o: q1 f" l[mb,nb] = bestblk([m n],k)4 X9 L. O4 s& Y d T0 L
举例7 s, i! i% F& o2 X1 A3 m$ Y
siz = bestblk([640 800],72)6 Z4 t$ U0 |9 T
siz =
# T3 s/ s5 _" r; `( I8 w64 50
- x) b- D: }2 ^) l. ]0 s相关命令:4 z8 p3 g6 X7 F3 y! R
blkproc+ w+ C" l: L v( m
' ]* \; m& `& ~
6 [ S# I8 D" E1 v, M, @0 l3.blkproc
& Q1 ~1 i+ ?5 W8 Y功能:4 d6 O2 j- N8 _" {, A4 M
MATLAB高级应用——图形及影像处理 320
2 c, n" l# B6 N- G+ E1 _2 n P5 f实现图像的显式块操作.
6 C1 r3 n9 i. Y& M! W. w语法:
8 I6 `' J' `) Z$ n& X6 S. `B = blkproc(A,[m n],fun)2 y* x3 l% [) T2 H$ _( a# `
B = blkproc(A,[m n],fun,P1,P2,...)
/ t) E; f! m7 r9 {B = blkproc(A,[m n],[mborder nborder],fun,...)
& z6 ~9 }1 ^8 o6 l2 E* }. zB = blkproc(A,'indexed',...)7 m6 U: {" d# M
举例, I7 n8 f" O2 p5 Y# a
I = imread('alumgrns.tif');
' ?" ~3 z n& x! p. y* a' }I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');
, L. t1 b# @% _imshow(I)
0 R/ r+ ]( o! Yfigure, imshow(I2,[]);, d6 ^9 ~$ \/ \4 J6 O9 d1 x; m+ a
相关命令: c; d7 j8 a/ ?
colfilt, nlfilter,inline+ a, U0 i3 i1 C: s+ e: X
: u& ?/ a9 O* w \4 t
% n1 m+ o9 L7 ~ p8 W5 B0 V4.brighten
2 a- n# O) w7 k7 N1 e2 d6 S功能:6 Z1 q, n+ ]' r: F6 J( V9 B# @
增加或降低颜色映像表的亮度.5 P1 z& g' P: j
语法:
) E) _: Y6 O% G* K0 |4 vbrighten(beta)2 J' U2 n, k6 y2 ^
newmap = brighten(beta)
b0 _9 S' T- L' j2 H6 U6 Inewmap = brighten(map,beta)
0 y, a" g* Q8 \9 m8 F% y( t- h% nbrighten(fig,beta)# X; C3 x& X. L! c; O2 a+ c
相关命令:" Q& ~2 o, o$ Y
imadjust, rgbplot
^! E3 @. R, o4 e6 ?! N: F4 o1 j! K6 l d+ o$ h0 S H
" }: W; ?, w7 `/ u- `" h* G9 q5.bwarea; ^7 u8 [/ p+ L
功能:
( d- D8 b/ q8 z) a计算二进制图像对象的面积.
7 e$ @: h) l6 e! V/ T& p! u: Q语法:
% D9 |" I& Y2 `# R; T6 Mtotal = bwarea(BW)$ F& v* E! H. w M( ~/ ?, k; f
举例2 U' A6 ~' j% `* t
BW = imread('circles.tif');
, z. g) `* o/ ^) ]+ s4 timshow(BW);0 _% f+ f& L% a1 @
附录 MATLAB图像处理命令 321- f0 d# `. Y) \2 B
bwarea(BW); D3 R2 k( Y' B6 P6 ^
ans =
# r6 F- u5 [7 Z/ z% N, _157995 C: o7 O: L8 ^+ G6 n5 c# `
相关命令:
& ^0 {: A/ }$ T- j7 |$ p# {bweuler, bwperim- L. F% R. d7 z
# d0 c9 f7 a* D& U% o+ h y
& G. i, q" E) S: L0 H6.bweuler.2 U6 v$ N0 _4 }; d% c' C. R2 d# J0 P! R
功能:; W: M+ d8 W+ L) [' Q$ D6 t
计算二进制图像的欧拉数." S* @' z4 @1 E0 }/ _( Y
语法:
) ?" j( ~* J+ Z2 ^2 S9 Deul = bweuler(BW,n)
@; y* w& p- b$ O' B7 Y" z1 U举例$ W: v+ L5 |1 W- N$ J# o& ~$ y. B$ Y
BW = imread('circles.tif');: f( k( `2 s3 U
imshow(BW);( F: \1 h, k/ ~3 [) X) L6 [; r0 S
bweuler(BW)6 c N5 g) m5 J D$ F) }! p$ N, Y
ans =. w, I5 |' r% M3 ]+ s
-2
) a# i- W t0 _- ~4 e! x+ W相关命令:% P4 C; {0 u% C! ]9 q- e
bwmorph, bwperim! {: K. T5 P# P0 A! X* y) s# b( ^
. Q+ m) K9 X6 ]" w
7 c! k& s% C: E$ V7.bwfill
, y7 Q1 [9 e _) H. _* t6 A& N" f功能:( Z7 v2 p6 n/ {% z* m. q
填充二进制图像的背景色.
8 [6 J2 a- d% S+ D' U3 Y' z: f语法:
+ g" u, z% O3 i( V9 ]BW2 = bwfill(BW1,c,r,n)
3 _- R9 q, l- g* `8 L1 W" J& OBW2 = bwfill(BW1,n) M+ m4 b, _: i1 z
[BW2,idx] = bwfill(...)
7 g1 w0 I) t3 ]# U0 _) qBW2 = bwfill(x,y,BW1,xi,yi,n)0 x0 d; l; j& t. A+ G4 M: u
[x,y,BW2,idx,xi,yi] = bwfill(...): x- G# H0 Z0 |
BW2 = bwfill(BW1,'holes',n). X% [" `- v- r1 B) [* K" o
[BW2,idx] = bwfill(BW1,'holes',n)
3 P2 h& }) j! c* ^举例
; A' y( O( u# T0 {; L! d+ eMATLAB高级应用——图形及影像处理 322
' ^' Z1 ^# v& q6 N5 S; L" w9 pBW1 =[1 0 0 0 0 0 0 0
1 c" c! |1 P: J A2 F* R5 a1 1 1 1 1 0 0 0$ m$ G3 Y! M4 R+ W' X* p5 M; K
1 0 0 0 1 0 1 0
. v. l: L$ q T) B1 0 0 0 1 1 1 09 i6 K3 \4 y, o- {- S
1 1 1 1 0 1 1 1
m3 D" Q: {5 X, P/ i1 0 0 1 1 0 1 0
5 U+ L. e9 T3 D7 A) }' a. ^1 g1 0 0 0 1 0 1 0
A; ?: E( ?6 Z% `: _4 V0 b
0 n' K `" p" y" a# _, NBW2 = bwfill(BW1,3,3,8)
! ^7 H, t8 K w( x) kBW2 =0 k( {5 c8 d: N0 _
1 0 0 0 0 0 0 01 P6 z% l9 T/ [. o- v4 @4 `' {
1 1 1 1 1 0 0 07 |% j2 y9 V8 _2 ^+ `
1 1 1 1 1 0 1 0
6 t& E' P% y3 y" M" }1 1 1 1 1 1 1 05 E" m" `3 X F6 c9 T! u
1 1 1 1 0 1 1 1
+ N! r" e( M; w' k( I u1 0 0 1 1 0 1 0
; K, R& ]2 M' c" n# Y1 0 0 0 1 0 1 0" T3 ^3 {* j) a$ b. o. \; ]
1 0 0 0 1 1 1 0
7 N0 |9 u5 A+ a0 o; lI = imread('blood1.tif');
; V! w% e) C N+ o! F9 @ EBW3 = ~im2bw(I);$ p, U5 e, k+ [5 K) u; O+ `
BW4 = bwfill(BW3,'holes');' Q# B1 U5 M d I
imshow(BW3)/ Q q6 a3 |3 `8 t
figure, imshow(BW4)! ?& B; a! E) r- v b
相关命令:" Z$ S4 H9 f2 |' A0 |
bwselect, roifill
9 U1 O6 m& f$ P& j9 t( ~$ g- b+ }" I& J+ K- s' S' T
# r6 j% S) E4 Q5 A/ A5 J) A
8.bwlabel
6 _3 [! E7 ?4 [功能:
/ [/ D6 o* p; Q; g标注二进制图像中已连接的部分.
! C% I9 f/ Q& z/ u- E语法:
& F2 S% k% Z/ P9 q6 x Y附录 MATLAB图像处理命令 323) l* Z2 a' D6 \8 Y, S% x6 {
L = bwlabel(BW,n)
# G3 ^! U \3 r5 k M# `+ v[L,num] = bwlabel(BW,n)
' e- _0 m% ^% d, |, L举例 H+ n+ Y7 |/ K! Y- `
BW = [1 1 1 0 0 0 0 0/ f: n! x/ O" V
1 1 1 0 1 1 0 0. f0 v ~& j6 M, [" I3 V" q- T6 w: O
1 1 1 0 1 1 0 0
- ?6 K2 a$ n" n5 R# {+ h1 1 1 0 0 0 1 0! l* V! l& `2 S8 R
1 1 1 0 0 0 1 05 ~/ o; H2 z7 H0 L+ C
1 1 1 0 0 0 1 0
3 I- u; |, H' @. [( E! ?4 c. O1 1 1 0 0 1 1 0
; h3 s) n# i5 m$ Z5 @
2 n/ ]! B( v. g$ e# m/ eL = bwlabel(BW,4)& C) M& ~) x* N# |) V* y7 W2 n L! h
L =/ N" u# V' U: w5 [3 U4 Q o9 }: M
1 1 1 0 0 0 0 0) q: w' |7 x% N3 t3 D; P
1 1 1 0 2 2 0 0) C: k* T: F+ V0 S
1 1 1 0 2 2 0 0
, {8 m5 P- e3 H4 l' X1 1 1 0 0 0 3 0
9 c& h: A. ?8 @5 W' Z/ E1 1 1 0 0 0 3 0
, I6 g$ C7 P' y; w0 V/ W1 1 1 0 0 0 3 0
/ s4 W6 e4 J/ M3 X( p1 1 1 0 0 3 3 0
- X( p0 V% ~6 B: W! T1 1 1 0 0 0 0 0 V& d5 L0 L' C, W2 j- w
[r,c] = find(L==2);
& G: ?, e. f L' U |& y; Zrc = [r c]* l- _7 L2 i" D5 \' a" _2 F3 Z) g
rc =
. i& ~& v3 P) I0 J2 5
+ ~ U# a+ H5 |* q3 5/ s& ~/ E3 q- s. k
2 6# p* t2 U. F5 v1 ?3 ~0 m+ x- Y
3 6
! P! o& d# r- I! [相关命令:& N) t: I% e0 N% S$ @
bweuler, bwselect% E$ @9 S7 E+ c2 r1 }
9 n7 M- A! N1 P: A1 D( `
& @" L$ b6 [' b8 x, ^- i6 u
9.bwmorph
4 d- W @2 V7 A. g! [( N9 ]功能:
5 S" X- z5 `& }提取二进制图像的轮廓.
! B2 H3 Z' z3 Q3 s6 o& F语法:
- l* U! w: A4 E* t8 l& V1 WBW2 = bwmorph(BW1,operation)2 K0 `4 i3 Y+ x+ B4 U' n; D
BW2 = bwmorph(BW1,operation,n)
3 w4 G" j2 V4 D* T8 x4 G举例
6 c0 ~- h7 L. Y7 qBW1 = imread('circles.tif');( K) P# \$ Q7 n& Q8 L% n
MATLAB高级应用——图形及影像处理 324" ~. m7 \. Q2 J3 p+ ?( p
imshow(BW1);
+ h p8 }4 ?; b& [3 JBW2 = bwmorph(BW1,'remove');6 y A1 V$ }. M- \5 c
BW3 = bwmorph(BW1,'skel',Inf);% u9 |( P) E+ Q& q0 h3 b q
imshow(BW2)
. g! F+ L9 Y5 @& F2 h( w0 cfigure, imshow(BW3)( k/ p2 C' ?4 U- V5 f7 r7 w' w+ ?1 P
相关命令: Z) u( S! H* \" x( [5 f
bweuler, bwperim, dilate, erode
2 J. Q1 m8 W2 \4 i4 s, c9 J2 |, ^# m4 A# L" Q* _2 @ l
$ q; w$ _+ v/ s10.bwperim
. p M8 t) h- X @9 O) X1 u功能:% t% a+ I3 O3 I8 Q# a0 @5 V
计算二进制图像中对象的周长.. h2 y; F8 v0 J* o, ^3 [
语法:3 V- Q$ ?# Z1 z* z4 [. S
BW2 = bwperim(BW1,n)
; \4 r0 F0 V+ M# s) S# A举例# c+ R8 {2 H; j+ C0 l; f+ l
BW1 = imread('circbw.tif');
8 w4 T3 l7 C3 n+ m$ O" M2 R" w; s1 FBW2 = bwperim(BW1,8);
6 I7 B _0 E' O' limshow(BW1). w2 i& Z% k0 ?+ R4 b- ?/ B4 M
figure, imshow(BW2)! G5 r" R$ ]; k9 Y# \
附录 MATLAB图像处理命令 325* z' t' z- O( V3 L) S
相关命令:1 G l6 W. W( v0 R
bwarea, bweuler, bwfill
1 D3 {$ b' m' v6 k1 w- S" w; H
: |. k" ~% F' h1 R6 q
% @0 n1 o; x' M1 O4 F" f% b11.bwselect8 p7 ~# e h/ R- o+ W$ ~' H% s/ Q. Q
功能:# w8 O% T1 B0 y: i% g, p/ x! ~
在二进制图像中选择对象.8 s' T9 [2 p+ ?* s- ?
语法:2 d) I9 ~5 G3 Q8 l {% c2 w
BW2 = bwselect(BW1,c,r,n)
, p0 @: T$ i" k1 B; [1 _, XBW2 = bwselect(BW1,n)
9 ~4 G& q1 r* l[BW2,idx] = bwselect(...)
2 d2 @. O7 _) B8 Z0 j. V( p5 F0 k& L举例( T M( W) s% u
BW1 = imread('text.tif');1 A5 ?9 M$ B3 v
c = [16 90 144];4 v ~% n" j1 [/ j3 V6 _6 ?
r = [85 197 247];2 }) ?) H! N: I; X' C- d, Q- e
BW2 = bwselect(BW1,c,r,4);
/ R" u; A: ?# D V* k( bimshow(BW1)
* j# U7 f$ h# @$ G2 s( l! ~figure, imshow(BW2)
7 G/ J5 B, B" z: K; ~+ A- C相关命令:
' u0 v: A# y9 S% n. q* P5 r( |bwfill, bwlabel, impixel, roipoly, roifill) Y9 `7 m- A* o X0 C+ L1 r9 Q! X
. W$ Q3 N7 K% p3 t! K9 d) A- Z1 M% I
12.cmpermute# C8 X% l' \9 @. F7 a0 ~$ t
MATLAB高级应用——图形及影像处理 326 ?3 F$ C: j+ y7 c# L% s/ d! A
功能:
' ~* Q7 \: {* c, @调整颜色映像表中的颜色.
* Y& Y+ j: j0 z' Q语法:
! s* b$ ?; z" k9 m2 S+ ?[Y,newmap] = cmpermute(X,map)
: K7 d5 i, N1 m# H% P) ~- l[Y,newmap] = cmpermute(X,map,index)
, s& A7 q) {7 F, o# K, w举例" E( `5 I8 y6 X: ^3 j+ Z4 f
To order a colormap by luminance, use:
" p/ v0 @% i$ }1 Y- S% Q7 Kntsc = rgb2ntsc(map);: g7 X* u( O6 b$ \4 W
[dum,index] = sort(ntsc(:,1));, z7 V9 F U m% Q
[Y,newmap] = cmpermute(X,map,index);" z; O; x E) O$ q; g- L; M! |
相关命令:
v+ h# @* r0 b) m* ^randperm) R0 i3 U" X) U! C# K& E2 p8 ~
# q# X0 b& p$ y1 ?5 g' v$ F
) w& V `% `3 Q k
13.cmunique) ~- P) k9 C7 |% k
功能:( ?; F9 L7 U, _. u7 H8 e
查找颜色映像表中特定的颜色及相应的图像.
& L' U& }5 t \1 j6 T. n语法:
: K, l p$ r& \8 x4 O. p$ s[Y,newmap] = cmunique(X,map)
$ {9 y. q4 d/ R- T N[Y,newmap] = cmunique(RGB)/ S O2 U# T3 ?3 \
[Y,newmap] = cmunique(I)3 @( X2 a! ]' K6 S) u: ~
相关命令:
4 [0 }( M3 J& X* B3 q! U( mgray2ind, rgb2ind
1 R+ D. M" {9 K$ q4 d. K" Y M/ E( X6 u
6 X+ v' d; d w14.col2im- ^# f9 N S5 _( I) b9 K( y
功能:
! R* y V; ^6 i$ S }) `将矩阵的列重新组织到块中.6 [2 A/ ^. ^6 y1 R
语法:
) M1 u/ o' s7 [$ g3 l; j8 XA = col2im(B,[m n],[mm nn],block_type)
% a4 l5 Y1 c, A' N/ _A = col2im(B,[m n],[mm nn])
: B0 b4 o8 @" E1 x7 Z2 j相关命令:' E" N+ v: z, y7 @. g
blkproc, colfilt, im2col, nlfilter
/ B" h$ \- ~! T* r2 W* W8 x3 E+ d, r/ ^: U% X& W/ ]
' f! D/ w# V+ s1 r- O" n# O15.colfilt2 c# M/ q9 ~8 l" \+ `& K$ V
功能:
4 F5 d2 O/ k* i* C利用列相关函数进行边沿操作.( H E4 H3 A$ g$ _, h, l
语法:& ]6 c5 Q) z! t6 V$ O: m$ s
B = colfilt(A,[m n],block_type,fun): O& P' U$ Q8 X/ `7 }; U' B
B = colfilt(A,[m n],block_type,fun,P1,P2,...)& c; w4 O' {+ }4 _; I7 Q! Y
B = colfilt(A,[m n],[mblock nblock],block_type,fun,...)
5 ^ m! U: m$ n. w1 Z9 tB = colfilt(A,'indexed',...)
# J$ w1 B- v% I- V3 O. O附录 MATLAB图像处理命令 327
0 Y4 b; _% q* g' i相关命令:
9 @5 u4 I k/ L% }7 _, iblkproc, col2im, im2col, nlfilter$ W+ S$ u9 W& K" E6 K
) b; D- t* `+ K1 \. N
+ h* U# d: j5 G4 Q. i( ?5 T16.colorbar. w- T' c- b3 V g5 N% z
功能:0 M) z$ T2 {7 I" B
显示颜色条.
3 Z0 M% J% p/ V6 d" N语法:: d( c4 ]+ t) [
colorbar('vert')1 Q& y' w" x4 j$ W
colorbar('horiz'); Z! g8 t% r& t8 W1 v8 l
colorbar(h)
`. @" C: E0 f2 Hcolorbar
2 k% ~8 r7 n6 mh = colorbar(...)
0 k! U0 W n! u( \举例) n8 W. G) h" `/ N( E6 G
I = imread('blood1.tif');
, j, i( z0 e- ~) r" V0 C4 Z3 oh = fspecial('log');
( y# h6 J3 @6 ? V! I* f9 JI2 = filter2(h,I);
0 e( f+ S5 g8 ?8 rimshow(I2,[]), colormap(jet(64)), colorbar
2 Z1 ?5 G2 ?. c9 \
1 y- n3 m$ N& N, B, l1 s! ~ H. ~1 R/ i+ U* t8 c9 Y
17.conv2
% [% R. N" Z0 k2 X* L) \功能:1 Q+ g8 y* t% N& }* s
进行二维卷积操作.
" `, v/ d5 Q4 @$ N2 j# c语法:
$ E @$ s+ q, |* CC = conv2(A,B)
1 w$ L0 E% {7 C! BC = conv2(hcol,hrow,A)
! K, b8 p0 V5 g+ {# e. ~C = conv2(...,shape)
, ?; }5 Q! l) g2 d# w举例0 l& O% M; A' i% J
A = magic(5)9 x( j; o: v' y$ z8 u0 Y- I
A =* Q& M8 c' f* P9 y& I& l: X! k6 L
17 24 1 8 15
: ^5 Y! Y6 p" K; Q- @* \1 R23 5 7 14 16
2 x( b; k ?4 H4 Y) g4 6 13 20 22! ?1 }. |/ J, N" \6 L. _/ [. x
MATLAB高级应用——图形及影像处理 328
1 c, W' M/ T# T/ N10 12 19 21 3( f7 [8 d) T$ E9 D( e' @$ `% K
11 18 25 2 9
# J( G$ g; l4 q" TB = [1 2 1;0 2 0;3 1 3]$ L) @4 p v7 G! X& \$ [! t( |
B =
% f6 ~! |* R/ b) [) y/ C1 2 1
7 {9 q% ^9 u! S7 h0 2 0
) _! u, t0 W3 c3 v3 1 3& ~9 a* }! k' C) R
C = conv2(A,B)7 U5 k0 Y. B1 h
C =5 l8 P, \/ q& u$ X: |
17 58 66 34 32 38 15) f G( \+ n1 Z8 E F
23 85 88 35 67 76 168 l9 w' }+ [) r# _) M$ M
55 149 117 163 159 135 67
* d# I* f6 | i8 T3 N! }+ W% o79 78 160 161 187 129 51+ R5 b: I* E, H& `1 h3 `
23 82 153 199 205 108 75# A( G- f: w5 S2 c
30 68 135 168 91 84 91 ]/ R6 t3 E' C2 ]+ {4 ]$ {
33 65 126 85 104 15 27$ d3 ]: A8 o& {5 U! m
相关命令:
* Y7 x' N* G5 T5 }$ y: q) gfilter2
' T' A, C9 }8 t& Z! G; ]/ y- N, \; M& X [0 A% T
# l N! `& w1 [) r c18.convmtx20 \9 S5 E% D& ^1 f9 D- M; z& B; I
功能:; e) @# l1 L, m6 T, x
计算二维卷积矩阵.
( b4 [# n5 h+ R: D' ], R语法:3 c% _& `2 }/ ?3 X. N6 o) c
T = convmtx2(H,m,n)
v6 S2 k' o. a5 n" `( y tT = convmtx2(H,[m n])7 G6 |/ s- ~) r9 g
相关命令:
& k k6 t' v! S1 S+ ~7 E& kconv2
& {! |$ h( g0 |* W6 w
# `/ r4 y* l$ ~& ~. f( @ H
' N z0 H- Z' @! e19.convn
- o& ?. l" H8 x. @. t功能: 计算n维卷积.# D A$ q6 `9 h2 [
语法:
3 G; r5 U6 x4 s, SC = convn(A,B)
. g; B+ q' L2 J$ s+ H) bC = convn(A,B,shape) w( l- @ f' l( | Q7 X5 F$ h
相关命令:% C# m* N( C' g. U2 P
conv2
+ l9 A( }: O& |/ S0 n+ r$ R% l& V8 F2 b; ~, [ U% p
w/ ?* t( K* p4 @3 ~% y- k' Z20.corr2
! y+ n+ Y# d9 S4 \' S* T6 d功能:1 ]9 B& R. ?6 O& s- d
计算两个矩阵的二维相关系数.
: v% q: [4 T' H; K' q附录 MATLAB图像处理命令 329 ?$ A7 F6 s4 X
语法: M3 F! _" o& h" L G' v6 t
r = corr2(A,B)6 Q7 @3 j3 e) Q& {4 F) z+ C
相关命令:. Q% `8 b& G$ H- X7 e
std2* x4 X/ k# G( a0 m, ?
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+ w3 x8 V6 n4 o. Z M21.dct27 _# K) z6 j2 X% u- f! e- x1 b
功能:* c I, k: ]3 r' i; J: O
进行二维离散余弦变换.
( {3 G" t. q2 G9 Z* i- |! P语法:( r- L3 E4 R% d4 V$ [
B = dct2(A)3 B9 X$ q+ n8 U* M% W% A
B = dct2(A,m,n)* u" g1 G# Q8 T: m/ L5 Y# E
B = dct2(A,[m n])
* O6 l8 w1 o7 h5 u4 s) i) l" B举例* x' ~6 K1 P# c5 F& H& y
RGB = imread('autumn.tif');$ ~ }9 t8 ^; J% f8 l1 O9 i
I = rgb2gray(RGB);
5 h1 `+ d8 s9 Y' B; z. RJ = dct2(I);
5 l) ]# D6 B/ X8 N( Nimshow(log(abs(J)),[]), colormap(jet(64)), colorbar# D8 R; F$ q# `- L O; T* r: k6 M
J(abs(J) < 10) = 0;" b2 I/ p& {6 G
K = idct2(J)/255;1 O3 I! J Y9 l4 m0 e' N
imshow(K)
) A( Y: x4 k3 }# A相关命令:: F$ ~ e* v; j% j7 R
fft2, idct2, ifft2
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