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1.applylut
$ J. h, h* N. R功能:
4 ]" ^ l% k1 H# U* m& v. X( L. M在二进制图像中利用lookup表进行边沿操作.+ H2 L* I; q# Q- y. s
语法:9 S$ ^- a6 z: y( Q" p
A = applylut(BW,lut)7 ^4 F2 C. j( e3 G6 K, V
举例5 u9 q4 o9 Z! v5 _
lut = makelut('sum(x( : )) == 4 ',2);' Z$ H0 D( z' U& [" x
BW1 = imread('text.tif');0 Z' y& L% h/ S) I; f. q
BW2 = applylut(BW1,lut);
$ w% e9 g5 O& `4 L# K! Wimshow(BW1)' q% N, K6 o, A9 \, p& ~0 X# g
figure, imshow(BW2)
* |& U% u: [7 l( k; v4 C相关命令:: v6 r0 P8 S. E
makelut G( O9 V! G( |' `& m: F. J
+ c* e" g; ~8 w, l1 i
! g% V) w4 o, g4 a- I; T( \ z3 ^2.bestblk) z& h F8 `1 [9 r2 d, T- V1 D
功能:1 V- ?$ u: n6 R2 I1 v7 z6 l
确定进行块操作的块大小.; O% I8 q- B! n1 @
语法:- R O8 C1 i( {. N. {1 t7 [# z
siz = bestblk([m n],k)
6 {3 C3 m, I) a& |[mb,nb] = bestblk([m n],k)( G# t$ J6 t% ]' N8 H' G J9 {9 x
举例
& |# h7 W: p$ Wsiz = bestblk([640 800],72)" s/ D8 o& [7 j% l, K6 X; L
siz =9 C; A$ W8 o% U$ R1 G' r3 N. h
64 50
# p# O6 [& `3 c! k1 ?/ o" q相关命令:
' z% r d; \9 |* r* tblkproc9 z! A. o5 } Q) s4 e6 x' y4 [
) ^* M5 V7 X: C- I j0 q
! j# Y) ^; @+ {* W: |8 e3.blkproc
, F( |: d8 t2 |" l1 M2 D功能:) G) |3 j6 S* P7 b
MATLAB高级应用——图形及影像处理 320, j0 w+ V+ ~0 M! p
实现图像的显式块操作.
' E& w0 i+ S: E语法:
6 h% a3 O2 t& b% wB = blkproc(A,[m n],fun)! q. o8 S- a9 z/ f7 v1 u
B = blkproc(A,[m n],fun,P1,P2,...)
& n# h. ~: N! w" b4 ]B = blkproc(A,[m n],[mborder nborder],fun,...)
! ~* L+ u2 [# p+ L* ]& M% GB = blkproc(A,'indexed',...)* ^- I& G, j. T* d) |) r0 ^) @
举例
. \/ B: J4 s4 a+ Y) {9 Z. F4 hI = imread('alumgrns.tif');0 [% Q3 y7 L, A# }5 o# o( m! [: ]
I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');7 S3 ?3 T8 G/ [# d: U0 m
imshow(I)
. }1 N, u. ~: n9 Z x" m- Cfigure, imshow(I2,[]);
}0 d7 F( S5 ^6 D: \相关命令:6 f. P0 ^/ R6 i7 A
colfilt, nlfilter,inline. m1 E& }; {+ l" x+ t- F
* ~9 w& T) T0 W" ]6 ^: z9 h! d. m- C
Z" w! l8 T( S9 z# A
4.brighten9 A% V8 @6 v( \3 w q9 J T( @
功能:, l# {' q" x. F( K6 L8 e% O" ?+ i
增加或降低颜色映像表的亮度.
2 J. M$ i) {9 s语法:
7 }$ G7 P8 ]/ M% zbrighten(beta)
$ v: s) n1 I* t. N$ Wnewmap = brighten(beta)' P+ D8 ~; D# Q1 P5 k$ D5 P
newmap = brighten(map,beta)0 ~' r, B$ \* E8 p; B* U# R
brighten(fig,beta)( S/ u/ K' Y$ {( l2 v
相关命令:
. c7 q8 M4 _& T0 p1 P5 s) q# V, `imadjust, rgbplot
; ^% R7 k( J& @' {0 F# G
/ U0 G, e, N% Z# j% i0 H) X
; E; W' [+ F8 ~* b; f5.bwarea3 h' l2 s. i- w3 J, ~5 _! G
功能:
* V' q( D9 u/ U, `/ y7 R计算二进制图像对象的面积.
: ]0 u0 `& I8 z语法:
0 E% O1 s2 O/ c$ _( b9 c: Itotal = bwarea(BW)7 l* U2 [$ g' D0 Y/ q8 @% X
举例6 S V% C$ ~! G- O& Y, C$ Z
BW = imread('circles.tif');
. Z" w; I, y, o8 N" Mimshow(BW);) [! ?5 o! ^7 m2 l
附录 MATLAB图像处理命令 321- f& A9 j7 \0 x! d0 d% H+ [
bwarea(BW)
7 |/ q4 n- V2 o& }( N2 Vans =
q- q. X9 Y/ n15799
5 q. l+ S" T+ Y* K相关命令:- S6 `" z: C( ]5 y. B
bweuler, bwperim
; H B+ P/ P2 o7 J
/ S$ s6 j1 s# `/ r3 c p" {/ `& l. s0 r$ T/ Z: T
6.bweuler.' v/ A/ m }0 _+ N
功能:
4 v0 |- K/ u' ?# o8 B" C5 R, l计算二进制图像的欧拉数.
( U" ^1 y3 S; V7 z+ ]: g# ~语法:( W& j" ?' q6 [. B
eul = bweuler(BW,n)
" {+ [: u6 z( U& \+ x& k" A举例
S7 c+ Y6 V8 @& FBW = imread('circles.tif');; D7 z: k2 N$ I0 V) O$ d, P
imshow(BW);
- M" S( i) h. p, k* z9 c' zbweuler(BW)2 A$ j' u1 C# ~$ v) S; v& h4 R8 i
ans =2 V4 b; ^; E: P' F+ ] g5 {2 K. a
-2
; l2 m* f; \! h5 K" z相关命令:% X& ]% k0 o9 W6 B' j! O
bwmorph, bwperim
, j5 ?, `3 t6 r& R+ `/ T, v' P: w( F8 }# d& t( J
4 u" g- t _9 U1 x, D) l' P. ?
7.bwfill
5 M2 i2 v5 z; w3 Q0 A功能:0 {7 w/ c, v5 v) Q. @
填充二进制图像的背景色.1 Y! N& ^/ s+ A
语法:
h. x" @8 h6 A( Y1 R1 @5 o+ ?$ ^BW2 = bwfill(BW1,c,r,n)
) x; w5 y1 Y8 h7 b1 ?$ qBW2 = bwfill(BW1,n)$ V' u: s9 ?; ?% z; E
[BW2,idx] = bwfill(...)+ l& I6 m, s) a
BW2 = bwfill(x,y,BW1,xi,yi,n)
* S0 M' `0 E; R; F s8 b$ g[x,y,BW2,idx,xi,yi] = bwfill(...)% g! _3 T( Y$ a
BW2 = bwfill(BW1,'holes',n)
8 q7 Q/ b/ o6 G! S7 g% E[BW2,idx] = bwfill(BW1,'holes',n)
# @8 s. I0 V, g1 s1 n, I" d举例
7 s. l N' j) ^" y" m# p& w: WMATLAB高级应用——图形及影像处理 3227 {# V" {5 s% i3 ?- Q
BW1 =[1 0 0 0 0 0 0 0
2 m$ C6 `! n3 ~1 1 1 1 1 0 0 0
3 @$ x& W1 W8 x1 X/ v) B& r1 0 0 0 1 0 1 09 S# p P1 _* @. H% ~ k5 }
1 0 0 0 1 1 1 0
( H5 N. F v2 Z8 H7 b. ~! s1 1 1 1 0 1 1 1+ r( Z7 n) n' ]# R2 w% _8 @
1 0 0 1 1 0 1 0
# s! O/ f& ?& ~# V' h: h1 0 0 0 1 0 1 0& H$ o1 {) y6 z& q
7 {5 @. `" j) Y5 p, A0 k4 o7 a; ?
BW2 = bwfill(BW1,3,3,8)
6 I9 p6 T0 T/ R& ?' _. nBW2 =; A0 h$ v) f8 d, }1 z& q
1 0 0 0 0 0 0 0$ Y) n3 i$ C. T* D( [# D
1 1 1 1 1 0 0 0
1 L& a" O' J J8 [* k1 1 1 1 1 0 1 04 k! R: i, N% n7 ]* w# ~" M
1 1 1 1 1 1 1 0) v7 o1 a" t) A6 c3 k1 h; S6 h1 N
1 1 1 1 0 1 1 1
7 H7 c* C/ }0 W5 j1 0 0 1 1 0 1 0+ p9 P( ^9 a" Q) d$ d
1 0 0 0 1 0 1 0& u( c. R3 O- f( c
1 0 0 0 1 1 1 0: c9 d8 ~& n) W& z
I = imread('blood1.tif');
; h/ B" b) r+ k% hBW3 = ~im2bw(I);
& `, Q$ V/ j& X+ b# }BW4 = bwfill(BW3,'holes');* \" I. t4 I: m, r
imshow(BW3)) s! y- ^- s8 u) v* n) X$ o% Q
figure, imshow(BW4). {( T) Q1 ?4 J, s3 v1 F
相关命令:/ F/ k" ?. s8 d, c9 _/ D
bwselect, roifill- u; I) L, {2 {$ \) Q7 S( Y
) H5 q7 ~/ ~$ Q/ s u u5 m$ H; O' l# l# ?5 e4 S* w
8.bwlabel
1 K' y( {6 E; U$ ~功能:
3 ^ ^' F& o2 c' N' [) e标注二进制图像中已连接的部分.# b# O( t7 r/ g+ Y& w
语法:3 H& E! d# n6 {
附录 MATLAB图像处理命令 323" g7 N: k3 k- ^* j) q) b
L = bwlabel(BW,n), g2 V9 N, J0 s" q& ?
[L,num] = bwlabel(BW,n)
6 m. \% C# b9 K3 A$ z6 k; v+ e举例
& J8 Y+ U) ^+ \" l: r+ rBW = [1 1 1 0 0 0 0 0
2 H' \8 Y, S1 T$ O: B3 d. s' I1 1 1 0 1 1 0 0
' [0 m3 q$ D- O1 1 1 0 1 1 0 0
& C% z- u, f; |* P Q5 w6 I5 D- M1 1 1 0 0 0 1 0; t/ o7 c- J( S* I& C) [& X
1 1 1 0 0 0 1 0
2 o0 p* u7 p4 G0 `$ {7 d3 j1 1 1 0 0 0 1 0% ~# V# z' u2 B ^5 H
1 1 1 0 0 1 1 0! m! Z7 _9 u7 c2 S! ]
* E4 d* Z8 J! T' e* JL = bwlabel(BW,4)# K0 N, u& l6 K. p; v+ B. [
L =' h0 A$ P+ b# }1 `* R4 [6 l
1 1 1 0 0 0 0 0
- C2 e& ^! [% O1 U2 M1 1 1 0 2 2 0 0
R$ s8 J) c8 m+ F/ J o x0 f1 1 1 0 2 2 0 0% h% F0 b9 O( \7 t: u
1 1 1 0 0 0 3 0
" U3 W) H' s+ U3 Z. j1 P- V1 1 1 0 0 0 3 0# p- d1 F: \8 u7 D" O u/ V
1 1 1 0 0 0 3 0- v) T# M" [! _ \. Z
1 1 1 0 0 3 3 0
' I% v* T& {8 P2 I! x, e1 1 1 0 0 0 0 03 g2 t- i" k5 t6 g
[r,c] = find(L==2);( O9 |: o; M: t9 s ]2 }4 _
rc = [r c]1 o# N- I8 t$ m! L
rc =
4 G5 e+ I, j3 A) ~2 j0 N5 k2 5
$ L+ \( |2 ^# \+ f3 5
0 }+ B% N7 y: O. v! Q" o9 u/ u2 6
3 B& P- D* y% a4 T; z8 ?2 S3 6$ Z( \5 ~- r! X/ |" C) s# n
相关命令:
& O5 l m0 a9 R2 {1 D q' Rbweuler, bwselect' |/ j* K" }6 i1 e6 w
4 {- C; \5 u) `. ]( C
$ ~: k5 `& t# C
9.bwmorph% f7 w8 [. Y8 ]6 v# \# I
功能:- d# u# t( r: w" z+ z1 C* }2 l
提取二进制图像的轮廓.
# [: t& z/ u! ^+ _1 g9 b- B7 n语法:% e: k4 o+ `- ]. F% z/ G3 o
BW2 = bwmorph(BW1,operation)
9 k: t& W5 Y& | \& q: V$ k7 UBW2 = bwmorph(BW1,operation,n)
+ b2 e6 q. Q8 {& e' ]举例# D O) j r4 M5 _$ m( k
BW1 = imread('circles.tif');3 @2 s9 M3 _! X" d/ y
MATLAB高级应用——图形及影像处理 324
3 F( N, x- g" X, A: Himshow(BW1);) Q$ `2 h" s2 w, u5 S
BW2 = bwmorph(BW1,'remove');! N- I f0 T' s3 r7 t6 u7 H5 Z
BW3 = bwmorph(BW1,'skel',Inf);9 r! V5 p% a! G6 u
imshow(BW2)* c1 ^. C+ M% G- C& T9 J1 c
figure, imshow(BW3)
7 N) Y) P3 q5 ]- i9 A3 K相关命令:
9 P: B8 p- [/ w6 a7 Abweuler, bwperim, dilate, erode
S" ^0 E2 ~/ S) O w5 F1 ?2 ~+ \% I) S( K0 n# n0 l; h3 {6 U! o
4 K' r. d2 b$ r' o: d* k, Z: B* }3 c) r10.bwperim2 a' X- j A: k( S
功能:0 d, @1 W$ h9 @" d [
计算二进制图像中对象的周长.
, ? X# I& V% e5 ] ^语法:0 `! c$ i" N L. ^3 L$ N
BW2 = bwperim(BW1,n)
' g- ^9 ~: }! F4 o% |举例
3 }# K7 D; t3 C! cBW1 = imread('circbw.tif');
6 H% @, r9 H0 g! s1 ABW2 = bwperim(BW1,8);
7 \* `' V+ P. m# c# O: c4 Eimshow(BW1): Z% l0 H, c2 x* r, v7 j, c
figure, imshow(BW2)3 _1 |# B0 O. c' g( e, _" S
附录 MATLAB图像处理命令 325* F% q. i# Y4 Q
相关命令:0 E& y4 W% b6 m4 O. k F$ n$ ~
bwarea, bweuler, bwfill7 N: i8 ~0 G7 l4 Q% ?
9 `+ f4 w* [, a$ d9 J
+ c/ B$ e# j. W3 \11.bwselect/ j; O, C4 p' G/ `2 ^' o7 L7 Q
功能:
1 G5 U- S, B8 g. {在二进制图像中选择对象.; z. ]: B8 ^' Q' ]
语法:( \. `9 K9 _7 e+ T
BW2 = bwselect(BW1,c,r,n)
3 V, O% I! f( tBW2 = bwselect(BW1,n)' z, h; A) T2 |
[BW2,idx] = bwselect(...)
- C# I4 e5 k/ E: }举例7 n5 M- H% G+ _4 [; G
BW1 = imread('text.tif');8 D0 a1 Y; o1 p/ a7 |. w, z
c = [16 90 144];
/ H% y5 {9 ^# c7 S8 {( Q) wr = [85 197 247];+ V) q3 S( ^: i3 e* z: [
BW2 = bwselect(BW1,c,r,4);
+ ?$ R m4 X' M+ Bimshow(BW1)% E. x& Z N: ]5 q
figure, imshow(BW2)% V0 O8 b* D: P0 g* ]- v8 A& }, e
相关命令:
. F4 V; E- |( m0 }; k y+ \bwfill, bwlabel, impixel, roipoly, roifill5 b# ?+ A& |2 K
/ {( J" T: ]* `( n& {$ C" g. Q- f0 k
12.cmpermute- {7 Z6 b4 C- q% ^
MATLAB高级应用——图形及影像处理 326 Z, u# N* l; L
功能:
& H% F/ I, q# r! |( H! J调整颜色映像表中的颜色.! f C9 ~) m+ m+ X# S" D, z
语法:
# V2 E) |* g+ i5 t4 b/ y[Y,newmap] = cmpermute(X,map)
4 E5 }8 k. [) d, n6 Z# s[Y,newmap] = cmpermute(X,map,index): b' t$ ?! j; Y/ Y7 n: ^6 U
举例- U. t3 I# ~% c: E% C4 j2 F* d' q
To order a colormap by luminance, use:
# X w6 Z% ]1 t6 C/ k6 Untsc = rgb2ntsc(map);
' |% b& O) V0 y[dum,index] = sort(ntsc(:,1));
6 O7 I. [1 o$ z[Y,newmap] = cmpermute(X,map,index);
- b5 b! o2 z, c, d" p相关命令:- x8 ~1 s/ O; o1 g. n3 X: b
randperm
( g$ v- q; _9 m9 T: b3 p9 b% }. y+ h3 I; K9 W6 `. T& C3 }
+ K* q) L. Z5 g: n7 B
13.cmunique( `' E0 C1 x$ a/ Y* A$ j* m' P
功能:+ M' ^- t& q/ [
查找颜色映像表中特定的颜色及相应的图像.
C7 Y8 Z# q6 V& j语法:$ ^! I Y) g1 F9 P6 e( E
[Y,newmap] = cmunique(X,map)
) k" H% y r9 q[Y,newmap] = cmunique(RGB)
! o( S5 Q4 N% I( {5 I[Y,newmap] = cmunique(I); l- @7 Y8 g+ I% }7 N9 {9 c
相关命令:1 u" _! W6 E! ^
gray2ind, rgb2ind
+ V* i. n& i* S( g3 g
% j3 r) [ j0 n8 V9 H- K2 h6 j! ~) ~1 d& o+ l' Q9 @- O
14.col2im
& p! k3 C+ M* Q( z( s3 }1 @功能:, p" j, m% R9 a5 O; A
将矩阵的列重新组织到块中.3 L( a3 e9 a7 C- A1 @# P. F6 w
语法:
5 R- z" p) L/ L: _% H8 hA = col2im(B,[m n],[mm nn],block_type)' `/ U5 X- u" `, d& y9 V
A = col2im(B,[m n],[mm nn])
3 o Z. `6 b' ^' S9 h9 M相关命令:
+ a, M" n8 i# X. U- S; M& `blkproc, colfilt, im2col, nlfilter
F5 ?4 g, {- X! m4 e. a; m) v
* u4 o% s) R7 }3 @: Q' q- a
4 a1 H( U) F- b- T2 @9 D7 b15.colfilt
8 X* t0 J$ v* G: C3 a, w功能:: U3 P7 y: @8 f: N! v
利用列相关函数进行边沿操作.
1 h2 s: A' _9 W2 K' M. A- }语法:: K4 J3 m9 ~7 u$ m! n9 C) i: n4 d
B = colfilt(A,[m n],block_type,fun)3 _- W# U! X9 V7 O
B = colfilt(A,[m n],block_type,fun,P1,P2,...)$ ?: Q9 w: |2 ?+ F( ^
B = colfilt(A,[m n],[mblock nblock],block_type,fun,...)
" g3 W$ j, G0 e8 ]/ P$ W6 \B = colfilt(A,'indexed',...)
* n- @; F% C: Y8 ?' C9 k+ }" y) u附录 MATLAB图像处理命令 327
' q" Y, c# M# t6 Z. G相关命令:6 K3 V; D7 k1 ]
blkproc, col2im, im2col, nlfilter
5 ~5 L5 Y$ w* M& } e6 F; N/ z% E) {" H5 Y8 S2 W1 H
# K2 V7 z( f$ h6 j$ K16.colorbar9 y+ g8 c# A3 V5 n0 L
功能:
# D% g- L7 o& b/ ]显示颜色条.) S. q M- ~5 @+ n9 H
语法:# X# M2 A' o) X4 I( d
colorbar('vert')8 A4 n" d8 C. c" O
colorbar('horiz')
8 }0 L1 o6 p |6 A" c3 @7 l7 J1 D! tcolorbar(h)# [5 O* b6 \% B% a
colorbar8 M: b/ o) u6 W/ ~8 i2 R
h = colorbar(...)
% b F# J) o. I- g2 r) j举例
0 R9 e6 z. R; J0 Y4 D- OI = imread('blood1.tif');" g( z C7 v$ |: Z, \' `, t4 r
h = fspecial('log');
' W7 O6 l' _; O. h: E- MI2 = filter2(h,I);
# [7 l* F$ U; _. Y4 K& |- ]imshow(I2,[]), colormap(jet(64)), colorbar
) R0 ~, D$ }. O7 ^
: \, t) m' w, |# q- b! s( E" s5 k
7 D$ r9 @. v3 d3 ?2 |1 v% m* n17.conv2
0 ~! G. T, F8 r, T1 U0 K' R功能:
/ v% c" O3 t3 o2 i/ T# b进行二维卷积操作. o# ]3 z3 s) U, i: t. v
语法:
) g2 u/ H* o: x. k4 HC = conv2(A,B)
$ A" a9 k: H1 [- W: E2 ]4 o/ u8 eC = conv2(hcol,hrow,A)
& i3 ~: [: Z: X3 g! @+ g* e( lC = conv2(...,shape)6 L: v6 ^$ w0 B& y( ]
举例+ l; d/ p1 k3 W8 o+ a/ ~; i1 E
A = magic(5)0 d; `! M3 g1 \5 a+ }3 S/ F
A =
" q: S6 S' r! Y( f, ?8 {$ z/ a17 24 1 8 15
) e b! p+ w" R; i M+ d3 ?. T+ F7 t7 @23 5 7 14 16# @; H; q& t7 L P( O2 l
4 6 13 20 22
1 ]1 H1 r* ]4 n5 }MATLAB高级应用——图形及影像处理 328
' |" T' i3 q W9 L$ ?) F10 12 19 21 3# @. A; e% V+ D' I' a5 w3 R
11 18 25 2 9: z8 M, B: l |! j, S
B = [1 2 1;0 2 0;3 1 3]
% e- N0 s$ r- h8 T9 QB =; G/ X& N& r! ]
1 2 1
8 X/ l6 \: L+ F! I# z0 2 03 l) ]6 ^$ Q6 [
3 1 3* n' x8 b7 `4 e: P3 v3 L# ^7 d8 Q
C = conv2(A,B)
7 M2 D. S1 q d5 B4 G f- {C =
2 ^( k2 B% D [17 58 66 34 32 38 158 w8 N' ?) ?; [
23 85 88 35 67 76 16
) h5 }% z) k# d s7 f+ E* w5 s55 149 117 163 159 135 671 S. E+ V( ~) c$ A2 d
79 78 160 161 187 129 51
3 W# V6 H1 d+ @- ?4 w8 u* u23 82 153 199 205 108 75+ p. {* [% w% k& V; J' p1 x2 F% }
30 68 135 168 91 84 9
: H3 Z8 ?! H" `/ h7 U" Y. k+ p33 65 126 85 104 15 27
3 i4 j4 J! G+ ~) Y1 d0 W) V相关命令:/ D3 m+ d! l6 e) g0 q) H3 ?
filter2
: z, h5 i y& T9 ]- w( O4 j
- p! L6 j. ^/ r( n
: W- [+ C# P0 M! k' a, I18.convmtx2; u. P* K( D# N/ n! u
功能:
. b% J- n- E& @2 d& T' n0 d* e计算二维卷积矩阵.
) U" ~1 ?! e' g4 [ w3 ~语法:0 U% \- G- G1 Y6 C! F" j: a; q
T = convmtx2(H,m,n)+ S$ G0 q; ]0 t' V* W- [
T = convmtx2(H,[m n])
: M5 g8 w( ~- Y7 w( b) {$ ^8 B$ _相关命令:, L! @# r0 `- s- Y \
conv2
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% }6 ]' e1 @% w2 e/ N- U+ n% E* s# [5 P4 L+ N8 X
19.convn+ g( r9 g% o& ?2 j8 _
功能: 计算n维卷积.
3 B$ H8 P3 m. N7 v" @语法:
# Q, M7 P: D& n$ t+ QC = convn(A,B)" U6 v" E/ ]/ z; s5 h4 j
C = convn(A,B,shape)
" c0 ^! y& U" h9 v, O相关命令:
/ S# n1 V1 \4 n6 uconv2
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20.corr2
G( } M* o9 N, C! L功能:; V( f1 p- `) c3 i1 j' ]9 G: }
计算两个矩阵的二维相关系数.- _% l H8 T+ g7 h/ @4 g! L! A
附录 MATLAB图像处理命令 3296 ^, t( I/ |5 S" c% W
语法:
# K" @) e( `. t4 D4 D Ur = corr2(A,B)
, q# b# t/ C4 J4 R相关命令:
4 F4 }7 f, r5 j4 z6 ustd2
' Y( {: d) `6 V# h. }. ?8 T5 l3 @$ ^1 ~& y* e8 I. r
' W5 ]" O1 ?5 s) ?7 y4 G# M1 ]9 z21.dct2! h7 R* g2 I3 S; H: c
功能:+ i9 e- r4 D9 P8 _
进行二维离散余弦变换.
0 s* N) L4 x4 S+ {: i语法:5 u3 p( J( n) U& |2 X
B = dct2(A)5 l! J* n1 a% b4 |$ o
B = dct2(A,m,n)" T5 y! n% S: J8 |$ U& W& {
B = dct2(A,[m n])8 I$ r% h0 j' M# T* _
举例
i+ G" T, k' h' j- _2 n/ \' D3 }RGB = imread('autumn.tif');
( @/ {: q0 ]4 o1 oI = rgb2gray(RGB);
: n- \$ f( Y5 gJ = dct2(I);0 ^ z) g% S: P
imshow(log(abs(J)),[]), colormap(jet(64)), colorbar Y' e/ z( i1 X! O2 T8 ^4 A: e3 s
J(abs(J) < 10) = 0;
1 B& E; m# f; G. [$ ?1 L8 zK = idct2(J)/255;2 D- A/ `# G. m1 w2 X+ u5 H8 N
imshow(K)0 z+ Y5 v. Z! n( s/ v9 v
相关命令:
9 b; H/ `; r; M$ w( e( bfft2, idct2, ifft2
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发表于 2021-7-19 14:50
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