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1.applylut
* E- A# G+ W9 k5 t功能:
0 H% C3 c& y. L7 Q& |在二进制图像中利用lookup表进行边沿操作.
# W! S+ G I5 s u: z语法:$ f; b5 V8 G: I7 G) r
A = applylut(BW,lut)0 T) i3 _& z; @4 N, M% a
举例3 l- `# P/ e! [- E
lut = makelut('sum(x( : )) == 4 ',2);
7 {9 @( ?: x: b7 T& UBW1 = imread('text.tif');" W7 W; a& u" I; u2 y! Q/ Q
BW2 = applylut(BW1,lut);
; `* o2 h, w7 a& i5 B& @imshow(BW1)
7 A% U0 P1 A6 w1 m& Efigure, imshow(BW2)
; D! S! }0 R6 v7 B* x" Z相关命令:' L. p! V& a$ R) H; F, x
makelut( t# u/ h! m5 v
8 @" ?8 e1 b2 I( `3 ^ D+ e, w
7 {% e" P/ d" g9 k# n
2.bestblk
1 ?0 j$ |) c8 B% D* k3 h7 q K功能:
5 m9 E* K3 b8 V* M% G4 V确定进行块操作的块大小.
8 k4 U4 p4 {& x! d语法:1 O8 c2 a$ v8 v1 V, k5 \# i
siz = bestblk([m n],k)/ K6 s+ h( g E5 I
[mb,nb] = bestblk([m n],k)" O4 X8 v) j$ @' r. L5 ]. T& _
举例
0 i6 e% x: h3 @4 M usiz = bestblk([640 800],72)( N4 r1 A7 b# T
siz =* A |0 L- W5 @/ w$ U7 R; n$ f
64 50
( E* l: g _; j相关命令:- \3 n9 D7 p6 p+ l4 O W+ X- K
blkproc. j- {/ p, K: X5 G2 E. B9 M
' `. ?# N) M/ h/ S3 `
- H/ S& a/ k5 E3.blkproc
& ?! E. j4 o8 j功能:
: T0 M7 S9 D, x4 w QMATLAB高级应用——图形及影像处理 320
# V, I8 P7 x. |, e2 Q. V0 q实现图像的显式块操作.3 f. t; U6 e; ^6 g. Z9 [
语法:# t2 }2 e3 p6 }: C% t3 W4 W% U
B = blkproc(A,[m n],fun)) Q) J' u8 S+ j
B = blkproc(A,[m n],fun,P1,P2,...)1 R9 E' h2 @8 I" _' m# {
B = blkproc(A,[m n],[mborder nborder],fun,...), J" {. w$ d$ g/ [
B = blkproc(A,'indexed',...)
: i# p4 C$ L$ l举例
, t/ f1 ^$ ^6 Y, `I = imread('alumgrns.tif');2 Y, W- W3 g N; D: [4 O
I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');
# r. w9 `9 O M5 L* qimshow(I)
& {- |. x4 n& [. M7 Sfigure, imshow(I2,[]);, Q8 }8 T; q8 k. x; o% ?$ v2 p0 U
相关命令:+ p! V3 L$ x- C% t
colfilt, nlfilter,inline
1 D7 U$ r" c* R0 W: j5 f( @4 ^. O( Q W2 }& N
4 j( w5 z7 V4 M
4.brighten
* I' \0 }$ s3 D功能:9 \" z: p! U6 p' H, f
增加或降低颜色映像表的亮度.# P: k' t" k$ M8 Z) u& m# U
语法:
3 Z8 Q! ?( k! k7 N' `- gbrighten(beta)) y/ R* R0 i- q
newmap = brighten(beta)
- ]6 T1 h; r6 F4 s7 j9 C+ ]- Cnewmap = brighten(map,beta)$ I/ z1 B7 h! S) q
brighten(fig,beta)
" {, P5 b* I2 C' e. z4 K) W; b; e W相关命令:. e/ `7 x, F# [0 b$ K0 t5 f
imadjust, rgbplot0 a& m, _5 j3 H/ K
* P9 H. _; L! W
- u$ q; f$ C$ {! X8 C5.bwarea/ W* I4 J* P! i! d! Y7 d) D1 p: s) k
功能:
) \/ Z1 v1 @; w" n) I) |3 @计算二进制图像对象的面积.
: c% {7 T% S% ?: F语法:, j: s$ @! J8 z4 [6 t+ n1 w/ s
total = bwarea(BW)+ }* N4 r* u; R
举例
0 \! T) v, ^9 }3 P: {) m& _BW = imread('circles.tif');3 |9 _$ L% h# d. w5 d9 r8 K
imshow(BW);
^7 {2 ?9 Q: y+ i; C9 q附录 MATLAB图像处理命令 321
3 m1 G2 C( f+ S1 L% x" Jbwarea(BW)* o4 D1 L* M+ z0 ~/ J
ans =& h( U2 }+ i! z/ `3 o+ ]# x4 z
15799
$ L' z& {+ A. L2 D. {0 T: i相关命令:; O% I0 N3 `& j5 Q9 K' l- S: e/ w" R' g
bweuler, bwperim
7 p( H9 X& \3 x5 X% o
8 X- y" H4 d8 x
5 v) M0 k0 Y& C$ u7 x4 J6.bweuler.( f( Y* v1 {2 e+ `" h, U6 M/ ~& ^: S( q; W
功能:
/ A' J* O* u" r! j计算二进制图像的欧拉数.
" U% Z8 r* T+ N; _2 k e语法:
6 @: ^. S# F5 \8 k5 g7 m- deul = bweuler(BW,n)$ k; u) {6 W+ Z) g# l8 }- ^
举例
7 d8 [! k7 Y9 x) B3 W1 ~' EBW = imread('circles.tif');$ G* A' m3 N1 l. k2 m' W
imshow(BW);4 W- d; c9 O: ~$ t; `
bweuler(BW)- k' ]3 h. X2 t- H6 B7 t0 L$ o
ans =" O+ T+ q' H& l5 a L5 I
-2/ M4 g0 u2 {) J$ }" J7 q$ c! A- v
相关命令:% K: g9 D- L& ~: a1 D5 Q- z8 L0 d
bwmorph, bwperim" b/ e( c$ A+ G, ] r
1 J' I, x6 Z" ?& Z9 R
! Q8 P5 c: i3 e( L9 u* Q7.bwfill, s# O, b, n8 V
功能:
" J8 K& Y/ r8 C& E2 J! m" @填充二进制图像的背景色.
/ {0 ~# e5 z+ M( k语法:1 ~) Y+ ^7 W4 M4 {3 M; E
BW2 = bwfill(BW1,c,r,n)4 R( _; n0 ~2 u5 R8 f) A# W
BW2 = bwfill(BW1,n)
) p0 \2 Y) Y) J7 Q( p% |[BW2,idx] = bwfill(...)' _! D( ^7 Z: c9 i3 ?3 w6 P/ z
BW2 = bwfill(x,y,BW1,xi,yi,n)
, J+ @0 d" a6 f7 v; q[x,y,BW2,idx,xi,yi] = bwfill(...)
N$ E) q2 e& g+ h1 b5 h6 ^BW2 = bwfill(BW1,'holes',n)2 S* u/ @0 V4 j2 _) N" ^' t/ S7 Y
[BW2,idx] = bwfill(BW1,'holes',n)
' M/ T9 ^' k8 z& S$ V* M1 x4 \" J举例+ w, W4 b5 M' n) H) N8 ^. E, Q7 v
MATLAB高级应用——图形及影像处理 322, V$ `& W9 S3 P! @1 P
BW1 =[1 0 0 0 0 0 0 0, L% h% O( r0 \9 _
1 1 1 1 1 0 0 0
+ C t, p' J% u1 ?1 M5 ]1 0 0 0 1 0 1 0
( ^- N/ }: V7 _1 ~" v3 v, ?1 0 0 0 1 1 1 0
1 L& ?9 K7 s* K/ `' e1 1 1 1 0 1 1 1# p0 F1 U+ T A1 W/ l# m
1 0 0 1 1 0 1 0! O5 a" o7 A8 B( r) K9 [8 m( m7 H
1 0 0 0 1 0 1 0 x, L1 F1 J3 V+ {
7 @" M; B3 @" o7 Y: h# A) N
BW2 = bwfill(BW1,3,3,8). {' t" o6 u! O$ {, P% m
BW2 = `* M; m9 e( f! G8 a! e: ^
1 0 0 0 0 0 0 0
! M6 ~+ W; F+ y o! S1 1 1 1 1 0 0 0* g- ?- a4 R6 t7 T4 j
1 1 1 1 1 0 1 0) ]9 r8 d1 u. p9 Y0 \1 r/ c
1 1 1 1 1 1 1 0" F; D; ^% G+ |9 X
1 1 1 1 0 1 1 16 P) i$ x7 j' ?% k+ p. Y* C
1 0 0 1 1 0 1 05 A J/ [6 D8 L% j L) e; g4 j) l
1 0 0 0 1 0 1 0& T2 N" ~, [7 }0 N% m
1 0 0 0 1 1 1 0) q2 V6 q# T# R, G0 k
I = imread('blood1.tif');. \" X% \+ |% z) P- L- J
BW3 = ~im2bw(I);
" `) Y7 [( ^5 @5 oBW4 = bwfill(BW3,'holes');# X4 Z2 S8 z, j' _
imshow(BW3)% c2 E: \ A9 z" I. y& P7 l1 P
figure, imshow(BW4)
, M, U; s `2 k$ P h相关命令:
1 o! |% Q4 z4 ^# W% ]bwselect, roifill
. z k) R) t- [
( l M4 ~; L( W
2 Q; o+ ^5 Q( p6 U- B& Y8.bwlabel
2 n. L8 M" ?, A( L功能:
- J% ?: g. R% U, O' y标注二进制图像中已连接的部分.* A5 c% n6 }/ W [" b1 e z6 i
语法:
. L/ \+ q7 `1 R a5 ]) e4 d附录 MATLAB图像处理命令 323
. C Q; a- \/ |; J# @L = bwlabel(BW,n)
/ k5 J6 n$ V4 H+ u- E4 }[L,num] = bwlabel(BW,n)$ U6 Z& h' D; v: {9 n: \
举例' O3 R m, ~' C. B* \- L) X) Y7 l
BW = [1 1 1 0 0 0 0 0
+ [4 Z8 ]; [& X. \1 1 1 0 1 1 0 0, f. c% M9 ?; C. F2 s6 G- l
1 1 1 0 1 1 0 04 t8 d$ i* N' }% F N) J9 g
1 1 1 0 0 0 1 0
4 g7 J) k' T/ a/ j9 o1 1 1 0 0 0 1 0
: I n) x" S9 ~% p! T: O5 A1 1 1 0 0 0 1 0
( z! \6 a: x, \1 L0 ?9 H5 x1 1 1 0 0 1 1 0
1 Z2 Y& h# [& t) W0 i& L n1 ?' q# e! e& Q4 K. E
L = bwlabel(BW,4)2 A+ l1 G0 p* P
L =
5 K% d7 D8 |! t' W j; S; n1 1 1 0 0 0 0 0
, S% Q# \- f, f) [: i1 1 1 0 2 2 0 0
9 C+ J5 P8 z. x9 ?6 K% i7 A1 1 1 0 2 2 0 0
* w5 \$ S+ d4 G" b/ U! H" ?7 M1 1 1 0 0 0 3 0
- M+ z# W4 t/ L1 1 1 0 0 0 3 0
# f4 w4 w1 M3 q7 E1 1 1 0 0 0 3 0
! e2 k% Q8 h1 {2 x5 F. o1 1 1 0 0 3 3 0% D7 F% }& F$ }
1 1 1 0 0 0 0 0
& W+ _' `8 h1 b, Q, j[r,c] = find(L==2);
$ ]1 ^6 B3 G4 d: t Orc = [r c]
, R& x7 U. e, n% H irc =3 d/ P1 F4 C# b$ o" ^
2 57 p$ I9 l; s- q' p+ R3 t# k- m6 u4 a
3 5
- q5 l$ a$ e! R5 b3 p/ A9 j2 6. F+ ` C9 Q. ~* r: N
3 6
5 A* S, F4 U, z相关命令:
1 |/ E) y, E# k6 Q/ Vbweuler, bwselect
+ v7 W! D- }* Q' m9 F" H" [+ g. c3 w7 x* V
/ v! u! s9 R) c- ^# p9.bwmorph
; K' @9 y+ l. I4 B2 B# s功能:
, q- J7 i: B; j- R8 H提取二进制图像的轮廓.
! l1 g3 l8 h2 Z语法:. T8 R" A( I0 U& K$ d
BW2 = bwmorph(BW1,operation)
- M5 r% T8 a) z5 RBW2 = bwmorph(BW1,operation,n)
7 R( X1 ?- n: ]& b( Q举例
3 O y7 Z' R: n3 H1 _; R! n# ~BW1 = imread('circles.tif');
\ S; i1 x' u/ E! x" kMATLAB高级应用——图形及影像处理 324( D$ Z, T2 e7 @7 z* _& Z' C1 n7 k
imshow(BW1);# t m3 I1 p- _5 F9 }
BW2 = bwmorph(BW1,'remove');
. q y4 O" Q# Z8 @) \7 p7 \+ ], rBW3 = bwmorph(BW1,'skel',Inf);
- x' q" m$ t1 ?/ Rimshow(BW2)
; m7 n- K" _! sfigure, imshow(BW3)" f# ~6 u: q2 B; L3 Q* _3 ~0 f
相关命令:
; g% o5 G8 `% mbweuler, bwperim, dilate, erode
5 D/ |* C7 r- j3 d) |5 Q( |9 D+ ~1 H7 F5 h
, S1 b+ l% l+ K1 E! S8 L2 |
10.bwperim% r, Z0 [$ {/ Y/ E& y5 ]# Z5 L$ l
功能:
3 X6 [; y0 x$ {8 g5 o, D3 b9 r计算二进制图像中对象的周长.0 ^) N9 V8 R, b8 D
语法:- w$ e' @! N9 }0 z1 O
BW2 = bwperim(BW1,n)
% B1 i. s( D" d p; y" h举例
~0 B. g/ H u1 EBW1 = imread('circbw.tif');0 F& I/ @; w' j* [
BW2 = bwperim(BW1,8);
! x2 f$ }/ |( ?1 @imshow(BW1)7 P% c# L( p1 X+ ^" s* D5 Q$ d2 n
figure, imshow(BW2)
/ }3 w6 @1 v( Y/ a4 Z附录 MATLAB图像处理命令 325
9 {' l, H' p5 }( w/ v( `9 C相关命令:
4 ?+ Z! m! P1 [bwarea, bweuler, bwfill
- `6 b$ R) p. Z, ~ [7 U* [& }% M Y! s" {; O- l1 Z0 M8 D
6 ^1 d5 o5 b& L g5 U( |# u4 q
11.bwselect& F5 c' C+ X3 z7 [1 b" L$ g
功能:9 u0 n' _8 Q+ f% R; |$ f! d
在二进制图像中选择对象.9 c) f+ u& o& R- R
语法:5 z" T& X' A& }3 c* O: m' o2 m
BW2 = bwselect(BW1,c,r,n)- T6 ~* ^7 e' W/ D% Q
BW2 = bwselect(BW1,n) l1 H+ W5 l8 V+ l! b3 }
[BW2,idx] = bwselect(...)
) N9 N* m# A8 q, d举例; L2 j$ d0 z! y" ^9 h, N2 y
BW1 = imread('text.tif');& J' Z0 [% v& }, J
c = [16 90 144];
" i( n1 K$ }9 H$ x9 vr = [85 197 247];4 x4 h, m) c) u" r2 \
BW2 = bwselect(BW1,c,r,4);
; s5 ], r! ~: t4 m( K: Limshow(BW1)7 ?/ Y) ?! f) G. j5 {9 O
figure, imshow(BW2)
* A( _' \. M# q( D* L相关命令:
! w% ?. @$ C5 Z, l/ Ubwfill, bwlabel, impixel, roipoly, roifill
/ U. s, I4 Q2 _3 V! ^
6 R: Q9 n1 V8 v! X% s k3 p/ C7 `3 c5 f) \: V
12.cmpermute
: k0 @/ h3 ]/ i. kMATLAB高级应用——图形及影像处理 326" d( e" V; `; i- K" [/ C
功能:7 g @9 v* `0 Q: B4 x# I( A
调整颜色映像表中的颜色.
7 V# B( p$ m* o语法:$ \ @0 i6 }) V e
[Y,newmap] = cmpermute(X,map)
. U! {0 Q) a# Z* [' `$ y[Y,newmap] = cmpermute(X,map,index)
x9 ]4 r% ] `% i2 k& i举例
5 ]! z( n) p6 ^4 m( K) BTo order a colormap by luminance, use:" d& a; T- h, u1 m' F; N. ~
ntsc = rgb2ntsc(map);" K, m: J- l# ~8 P8 V! q1 t
[dum,index] = sort(ntsc(:,1));" l2 s( ~8 F. d
[Y,newmap] = cmpermute(X,map,index);
) L4 r5 K; u/ w2 W% z% _相关命令:- K* a" h8 e. Y7 N/ ]
randperm
5 m% p P3 m( Z# f1 x1 _. Z$ ]7 M+ b. E9 m+ J k, e
, }* k+ G1 p5 q, k' E13.cmunique
$ {* h3 N5 X R4 w e功能:3 P. B n( p6 d' @" h# S& m
查找颜色映像表中特定的颜色及相应的图像.
: G' [* j' Y% ^; ?: Q# w语法:2 N; w; a/ F5 E. c9 f& @* N0 [2 i
[Y,newmap] = cmunique(X,map)( f9 d3 G# c: @6 e
[Y,newmap] = cmunique(RGB)
( z0 G) `- K. A# F+ }# y[Y,newmap] = cmunique(I) F) _: t! g- t$ M+ h6 ?
相关命令:
! L: v" |; C9 A, Sgray2ind, rgb2ind
, E% R; @4 f! y P+ S# c) V5 B4 t/ h# o2 ~
1 W9 i" Q. k2 Y1 \& f, k' H14.col2im
( r: V# K( g5 f; l功能:" w9 e( k8 ~ T: J# ?
将矩阵的列重新组织到块中.
# Q8 s9 w8 y9 v; K2 b* d5 N语法:0 V+ m& j1 @; Q+ ~. z
A = col2im(B,[m n],[mm nn],block_type)" e. ~# b7 h: o; f* T! V R% F
A = col2im(B,[m n],[mm nn])% J ^9 B8 n, q# _2 Y4 q2 \
相关命令:& @" z7 `3 t M9 H4 q, g8 Y. Z/ T
blkproc, colfilt, im2col, nlfilter7 J/ c+ |+ _, e, x( `
. ]7 h4 b! k+ }+ C7 p$ n/ i
1 Y9 p; [/ {$ [6 {15.colfilt h: X: S) s+ g/ c9 b" _
功能:* b& u' V3 y3 N5 N3 q
利用列相关函数进行边沿操作.- ^& y/ R0 [; M7 n
语法:
3 w- [8 f2 _8 X8 M7 Q$ _! K/ TB = colfilt(A,[m n],block_type,fun)
; E/ s- i v; n( j8 q0 d! ~B = colfilt(A,[m n],block_type,fun,P1,P2,...)
+ r* S1 h! z! Q, P% h( p: p5 [B = colfilt(A,[m n],[mblock nblock],block_type,fun,...)) E/ o4 Y6 [6 H: i6 S: {
B = colfilt(A,'indexed',...)
f' }. `9 D4 {+ s! e# e2 c附录 MATLAB图像处理命令 327
2 R6 s" v$ D8 f, K: s& c相关命令:6 v( d0 u3 V. f, v
blkproc, col2im, im2col, nlfilter' ], q$ E3 Q3 @0 ~
* v. L- {! @# [: w( N4 O) G
& T% @, `7 Q+ ?# w1 I
16.colorbar& F9 G9 `* {4 l9 {. Q
功能:5 X- s g0 P" o: H4 c
显示颜色条.
5 t8 J" G" h. g; W8 U5 c* X语法:
5 b# M9 P8 M9 b, C- j0 l( Acolorbar('vert')7 W7 Y; { z2 k7 l
colorbar('horiz')
S# c- }+ {$ j; y8 Scolorbar(h)
0 S9 T9 u0 T" K9 Hcolorbar9 k B( m) W+ r* Z9 }
h = colorbar(...)
1 p: N2 j; T( b5 v( [3 q- b举例5 a1 A7 |) Y J+ K& E% k% w' t
I = imread('blood1.tif');" |; B d; F* X% Q
h = fspecial('log');
3 V( q. V% | [" I; AI2 = filter2(h,I);5 j8 Q: Y, F% q2 P: ?+ h' s0 V
imshow(I2,[]), colormap(jet(64)), colorbar
1 S! X# W! R. d; O1 E M y5 R8 y3 U1 Y H& B
3 D, i; d* x3 \/ u7 U7 o17.conv2, H3 u w2 W, c" g5 W; g4 j) Q. a
功能:: @2 B, Y4 Y6 C2 m% {# i' Y
进行二维卷积操作.
1 Q$ ]# I# z$ F8 t5 k* R# F语法:
& m4 c; t' s s0 }C = conv2(A,B)( R( u! Y, q+ ]0 J) A' i
C = conv2(hcol,hrow,A)2 c3 G: t% |1 v; N, {8 S" ]
C = conv2(...,shape)# ` S4 j6 y5 B2 D
举例
$ F8 f5 e2 E. o! MA = magic(5)0 Q: D1 Z- g, `0 ?5 g1 g3 t9 n
A =/ A2 H; d5 j! l- s3 W; ~
17 24 1 8 15! B# y+ t4 r. C# T$ U; T
23 5 7 14 16
3 x I. t- k& k8 H$ H4 6 13 20 22+ [6 G" }% `& ]: r$ g
MATLAB高级应用——图形及影像处理 328
3 `; K f: v; N* X1 h O( J10 12 19 21 3
$ J. e+ [0 h- ^5 b7 Y+ [11 18 25 2 9' j7 I( f7 \$ n# Q7 i
B = [1 2 1;0 2 0;3 1 3]
; B1 _3 L g b7 \% ^7 MB =( r* X, o% `. y9 p3 r' ^
1 2 1+ y/ ^% [. z. d% ^) |) O, q3 j" M
0 2 0
" |) U# X& |+ E/ b% ~4 H3 1 33 _4 r% F/ C6 P( B+ q" w
C = conv2(A,B)3 p- n1 Q- g1 f6 s4 b9 A
C =5 s9 _, O' S4 ~5 m: e* o
17 58 66 34 32 38 15- c e3 k7 K: n/ F
23 85 88 35 67 76 16: W) R3 ^. V$ ~5 r2 C, Y
55 149 117 163 159 135 67
# m0 }8 S2 d7 a. F- f( e/ m2 q( C79 78 160 161 187 129 51/ z3 u. e. @* U. ~$ N7 u
23 82 153 199 205 108 758 Z1 i8 i& w7 G4 d. Z
30 68 135 168 91 84 92 K) m6 ~/ g& f, E7 _
33 65 126 85 104 15 27
& H2 `7 k+ H i相关命令:
- m2 I/ P$ v0 {/ G; t% E/ Jfilter2* a: H' p, n( l* h/ Y% b
0 C6 h' ^" ?5 N' f7 K; i- d) _& g
18.convmtx2! |0 t% f6 g- M. V A% q' G
功能:, _" B: ?% p/ e" }# `" N& ^7 k
计算二维卷积矩阵.
3 {9 e" K0 f; z语法:& Y7 Q1 p7 v% n6 O2 S/ Z. l
T = convmtx2(H,m,n)! ^7 S. Q$ q. s5 o+ H% i9 g' A
T = convmtx2(H,[m n])
) y+ [2 C9 ]) a/ [相关命令:2 @# t4 i' d0 p1 U3 q. |
conv2
: ?* i; V" G; t6 I& ]+ @5 p6 |. u
* \' x2 }) i2 o, U" c' @) h" @& l
19.convn5 M# x- u. q/ p- j
功能: 计算n维卷积.3 @ ?/ F' N+ I1 ^+ y( B8 O
语法:
/ d: c8 I5 A7 s+ R) a( Q AC = convn(A,B), u; q# k3 ~+ Z, d/ i- C `4 u- r
C = convn(A,B,shape)# @+ ^/ f9 U! S
相关命令: T, Q0 l9 E3 ?# e) p
conv2/ J7 t, M. J& f) k/ l7 c: H
* ~) \( D( v2 Y& w
: {7 l6 A, X; O1 g1 }20.corr21 K4 z' ?& d' w7 o9 h
功能:
$ E# I! z. ^$ U M* X g计算两个矩阵的二维相关系数.$ W! C; T$ ?. i7 ^" c, }
附录 MATLAB图像处理命令 3299 t3 P( K3 h& q: g' X
语法: t$ x2 y7 |1 N) G1 ~
r = corr2(A,B); W; j) R) y/ {
相关命令:5 n3 Y( t! J9 b! ^6 i
std2
`" T# O8 a/ Z0 j( q7 a: ]) j3 m1 G4 S
9 X5 B" U; |; |21.dct2
& P9 B* v; A5 }3 T0 O功能:
; e' X; g- j" Q8 e9 r, f进行二维离散余弦变换.+ l3 S, s: `: f% S" c: u; S
语法:
- }! h( T# q( J' l; r4 d. @B = dct2(A)
$ m( D) \ v0 t: kB = dct2(A,m,n)
0 ?' z. G% Q" H3 p I jB = dct2(A,[m n])4 \/ a5 X; I' d5 I% M
举例
( Z9 u4 `. B' W3 p4 c9 T/ Q+ V9 {RGB = imread('autumn.tif');
# s; B8 H* m% e$ X2 m7 p8 t+ `& |4 lI = rgb2gray(RGB);
4 \+ b" S2 [+ R/ A& EJ = dct2(I);
+ ~/ m' W! @! _* e4 S, w/ ~$ W Y5 pimshow(log(abs(J)),[]), colormap(jet(64)), colorbar
, P( L; r% {/ v5 G4 y* _* w. i9 s6 uJ(abs(J) < 10) = 0;. G9 e1 M# L% V! H
K = idct2(J)/255;
9 F3 [! |+ C7 h' m/ |9 bimshow(K)
% y; z" R x+ d0 o相关命令:
1 {/ g9 I! ~% Q4 _* v8 ~* `* L Qfft2, idct2, ifft2" b* l. d1 D5 `2 _
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发表于 2021-7-19 14:50
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