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1.applylut& u1 X9 P) ?# z. D( {1 @
功能:
' T! p' J F. \在二进制图像中利用lookup表进行边沿操作.9 L" {0 {. q- `3 j" w
语法:
* K* ]' Z% A8 ]+ q' QA = applylut(BW,lut)4 `, d0 K- F, n/ z: u# C
举例
9 s, q9 M4 J2 S$ @+ X) }lut = makelut('sum(x( : )) == 4 ',2);
( C$ h# D, M! W( R& ~BW1 = imread('text.tif');
; |2 n- j2 r0 P$ @/ `, B6 RBW2 = applylut(BW1,lut);, \3 H, K# @; r9 p9 D6 k( f
imshow(BW1)( g* X: L3 ^. n/ R
figure, imshow(BW2)
' K( |: w: ]( ]1 m相关命令:8 _( d7 a3 H; \3 v0 c
makelut
+ N, W. l( a. A( t( Q. v7 N. U# F6 N" a! [4 @$ T
6 X; k; ?5 } O. j G3 N7 V9 i
2.bestblk
1 G. F9 G4 G4 C, h) E. E) a/ B功能:
3 b, A2 }7 Z' N2 s' @+ d确定进行块操作的块大小.- l7 o G0 ~1 X7 B# _. k/ x
语法:
: c1 N, h8 e2 o0 u# [) X" C8 V4 qsiz = bestblk([m n],k)
l! o& T' j6 L- r) d6 u( G& e[mb,nb] = bestblk([m n],k)/ F+ L0 W7 y |, U0 z% U& H
举例7 `# Q% b, v9 J- h
siz = bestblk([640 800],72)
2 E/ F3 R% y0 r- D* J7 s, k' C4 G7 D3 hsiz =
: U/ J! g9 x3 J& d) J64 502 h8 [- s1 ?( v; a0 y ?% ~
相关命令:1 i3 H6 V9 n! p
blkproc# W0 {0 n& x2 J
3 Q# k! R3 w. q3 ~! B. h9 A; U$ d& p4 v' ^
3.blkproc# F/ T! E. `' Y0 v' Z: [ H8 p
功能:% [) s1 E& J2 \# A6 U2 N
MATLAB高级应用——图形及影像处理 320
/ O/ ^" C! A: F0 l5 G5 E0 S7 K" |( u) z实现图像的显式块操作.; [4 Y% R- t3 n; P
语法:* h' ?. v8 Z' Q; B; {
B = blkproc(A,[m n],fun)
: y Q+ h1 o9 Q3 ~, pB = blkproc(A,[m n],fun,P1,P2,...)% Y* T; h6 e1 j" |% n
B = blkproc(A,[m n],[mborder nborder],fun,...)
7 q" N5 ~" z; R6 i" eB = blkproc(A,'indexed',...)1 [$ ] h2 F$ `: s5 \1 i5 @5 z
举例
5 x _: {! E( F1 m1 R2 F7 wI = imread('alumgrns.tif');
' M1 w& K# H3 WI2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');
' }, e. W; w( P1 I% Z7 Mimshow(I)
, q( c0 ^; `4 n/ X. N' hfigure, imshow(I2,[]);
4 D v5 ]. r( F& i相关命令:, [* S9 z( |9 A* X. D
colfilt, nlfilter,inline) T3 y! W+ W! J, v7 z; U/ U
! g. @. \. J9 j/ |( ?+ |2 n6 c% f! p1 T7 j+ Y# M" V
4.brighten
- f A& g/ v3 e7 K! z; `! e功能:
) J/ |; _/ ?8 y5 C/ L3 i$ z增加或降低颜色映像表的亮度.) \ H9 X" ~7 r! q Z# c# T
语法:) }. l( m& _% |; ^5 N/ B$ ]
brighten(beta), E) Z2 [, M3 G6 L
newmap = brighten(beta)
0 s) V4 B- [+ V7 ~; b0 L9 M Cnewmap = brighten(map,beta)
! z. D6 ?* p1 E3 _; N# r8 kbrighten(fig,beta)
; G4 S# h! K& Q/ ^9 }相关命令:" @' C5 n) }- X% z
imadjust, rgbplot0 |# |: h4 \1 r& Z# u8 |
0 [" ^& b# T0 h: o! s! F; j) ^
+ J$ E! U+ t+ F% \! {: k2 B7 |
5.bwarea
. L. [) y6 b9 r7 Q7 X/ h# O功能:& O2 F% c- p! ~
计算二进制图像对象的面积.
" s' S: e, J4 ?2 ?9 Y0 r ]6 N* J语法:0 W# K" p$ N6 i) ?/ G; u8 Y. u
total = bwarea(BW)
7 Q5 y6 x4 [$ ~举例
8 f* {( S! u! J0 i; ^BW = imread('circles.tif');
" d7 k; T R# O5 {* iimshow(BW);
* G# y8 ] O3 |- Z/ O/ c' J" z附录 MATLAB图像处理命令 3217 {' W3 G* j5 ]" ?/ t! y- Y
bwarea(BW)
$ m1 R2 H# Z: C* j dans =; G& {+ u! R& z; h; l2 K1 V
15799
# C3 j! ~- R* G1 A" d: x/ y相关命令:6 g0 F7 z+ A$ O. z5 ?: K
bweuler, bwperim" L( D2 z+ O: L+ o. b& _9 u" y/ d
, c; \2 H! z0 h2 Z+ U
* j2 j: f9 k6 O( @, H7 Q' b6.bweuler.
+ R8 D. t3 Q% K6 ? J( c+ c功能:
( a6 s4 L) y E5 t计算二进制图像的欧拉数.1 A( S8 ?1 ]* O5 O5 U
语法:
) `0 ~! K/ G# n4 C! oeul = bweuler(BW,n)/ e2 N- W2 D. K1 |
举例
/ d3 z$ q5 {0 G6 bBW = imread('circles.tif');: m% E& v' w: f7 A9 U
imshow(BW);
4 C. @( h7 P! `# ]8 f8 p5 abweuler(BW)
8 O: t. ~9 Q" g, t5 w! i) nans =
5 h) d$ j5 y. v' v-2
- }/ I' y- V+ a; s w. ]相关命令:6 s& |1 c3 }; j4 t6 h7 c7 c. N
bwmorph, bwperim' b3 x( {% V u# z1 H. i6 q# N' m
) _, B0 }$ C' G; j9 Q2 U' x! Q# i* y& ?1 w1 _9 K
7.bwfill
) F: V! Q, G, l) `3 M6 v6 ^功能:
* {. P2 [2 R7 i8 {填充二进制图像的背景色.
( b! {$ Z8 d5 n" G语法:1 f0 [' }2 p) o, _4 ^' [
BW2 = bwfill(BW1,c,r,n); Z! w$ ~- D% u& w2 Y2 I
BW2 = bwfill(BW1,n) x6 Z4 G+ @5 w4 H7 B
[BW2,idx] = bwfill(...)5 G! e* e0 G% Z+ L& K+ e0 m8 N* }# J
BW2 = bwfill(x,y,BW1,xi,yi,n)
D' U$ i/ ?% u/ O5 o2 q[x,y,BW2,idx,xi,yi] = bwfill(...)
% \, ^; ^$ T( {! MBW2 = bwfill(BW1,'holes',n)
, o0 p3 y, ^/ d* v[BW2,idx] = bwfill(BW1,'holes',n)
$ A/ n: l9 y( [/ ?# O举例
+ y( X4 ?* k6 @MATLAB高级应用——图形及影像处理 322
( N8 [- v4 Z- R( G( O7 h5 E0 pBW1 =[1 0 0 0 0 0 0 02 U0 j2 L+ O; B) r3 g
1 1 1 1 1 0 0 0
$ [) ^0 A3 b% F- M: i1 0 0 0 1 0 1 0/ n" q; _; b/ L0 t7 e
1 0 0 0 1 1 1 0- ?% Q2 o/ W. z" \# @4 W0 G8 V4 m
1 1 1 1 0 1 1 1
7 |) J; u' |$ V% }5 b5 c1 0 0 1 1 0 1 0
) }. u( e* q( o4 p, \1 0 0 0 1 0 1 07 V1 E" r4 @" b2 }: \/ V# d* J4 p
8 I2 o- v& @( s3 q9 s; ^3 VBW2 = bwfill(BW1,3,3,8)
' j0 b& a6 d0 g4 _) H, h( \1 n# gBW2 =! r& G( _$ O; n
1 0 0 0 0 0 0 0
- i& B- s( O$ i1 1 1 1 1 0 0 0
2 A, L9 W2 G8 ]! o1 ^1 1 1 1 1 0 1 0
) w: }. d. E2 [) C, T1 1 1 1 1 1 1 0, ^' t+ i9 o: ~1 w: P4 e1 ?# }# U: t
1 1 1 1 0 1 1 1- P6 Q2 s+ A' T6 C- z
1 0 0 1 1 0 1 05 X- w; ?% v) v6 O1 A' U
1 0 0 0 1 0 1 0
2 k- N9 I" L& @" p; p$ F/ ]1 0 0 0 1 1 1 0
2 z0 |# ?& d/ ^; P4 o& F# [3 H2 Q1 sI = imread('blood1.tif');. K+ H" r2 I0 s- a- D: P' \
BW3 = ~im2bw(I);
; o; u5 Y o9 k; qBW4 = bwfill(BW3,'holes');
% e0 T" @: J+ A8 N- j" qimshow(BW3)5 f2 P0 H8 H5 C
figure, imshow(BW4)/ |% ~9 T5 I% ^$ [* v
相关命令:
2 A; R3 ?* j) r* A# d' K1 Jbwselect, roifill
2 q# b% X- s3 c( S1 C f5 L% L" w4 h: W, p. W& ^4 s
* V( G! X& ]! R+ h O1 ^8.bwlabel h4 r3 _. L1 |2 J, |" f
功能:
3 W$ u# v; I5 K* G5 d5 t. `4 s标注二进制图像中已连接的部分.* @9 k8 i: _# o6 d1 ]
语法:
. l& q; c- B; h- ]& l- d' y% r+ v- t附录 MATLAB图像处理命令 323* u6 D% _" b( w3 |
L = bwlabel(BW,n)5 C" M6 Q; u. z6 `, ?( }7 |
[L,num] = bwlabel(BW,n)$ H8 g- z3 Y g
举例
1 r% f+ C& D/ T8 fBW = [1 1 1 0 0 0 0 0
4 n6 S& p4 O$ H2 w8 U2 F( A1 1 1 0 1 1 0 0$ E- {, i7 J- ^2 d1 i0 }1 W
1 1 1 0 1 1 0 0
# R; X5 U, \+ V% c2 r1 1 1 0 0 0 1 05 M& q, W& t6 _
1 1 1 0 0 0 1 0( |* R' A; L L
1 1 1 0 0 0 1 0
$ D% U6 K1 M0 m9 p5 H. p$ P/ n1 1 1 0 0 1 1 0
* C6 I' n. O9 e3 X: h% O+ R/ x3 ]9 o4 c$ X3 C7 w' @9 H
L = bwlabel(BW,4)
: N% y' x8 Y2 r, G$ a' N) |* UL =
* ^9 n( x) P+ I7 D3 ~1 1 1 0 0 0 0 0; O5 J( [$ G. D7 G& q
1 1 1 0 2 2 0 0
. k& w4 ]# x8 Q. Z9 N. L1 e5 h1 1 1 0 2 2 0 0
+ P1 P n4 {- _( t. W6 |3 p1 1 1 0 0 0 3 0- u1 _6 K; I* _* `, A
1 1 1 0 0 0 3 0
9 b1 e4 \7 {* x8 [9 N- y1 1 1 0 0 0 3 0; g) _8 g$ ^2 J) C0 g. t" q3 S
1 1 1 0 0 3 3 0 _# n. `( q Y6 |( v
1 1 1 0 0 0 0 02 N$ _* U, ]; O2 W' H
[r,c] = find(L==2);: ^' q4 g% C* q' U
rc = [r c]
6 P X, o: X9 ]rc =
7 ^- i! O" a9 C* M# D8 ^( Y2 5
1 \7 x ^% Z* k; U4 l3 5
. X( p/ K) y) x3 Z% [$ k2 y2 61 e- S. t8 h4 ^! E; K6 G7 e
3 6) A) G/ S& W+ P* X, F+ v r
相关命令:
! `; M- `( D$ y }$ Xbweuler, bwselect
- w6 R: p4 ^4 _: t# z, Q0 J- U B; d; c$ X8 R
4 u+ R5 @8 |$ q H$ ^9.bwmorph
: h6 R" d) @8 q. x6 u功能:
: W4 _& V x6 c8 U" y% l+ T Q提取二进制图像的轮廓.2 \4 a8 S8 H4 Z) \/ z: S
语法:0 ^* t. k. a' B) b- h( f8 m0 x
BW2 = bwmorph(BW1,operation). L2 E. _' N' c/ J/ d* Y
BW2 = bwmorph(BW1,operation,n)% R: O. G+ g! y8 B' X$ g, Q; B
举例
2 l, j- x w( I3 WBW1 = imread('circles.tif');% e1 B5 N" f( N" U& {
MATLAB高级应用——图形及影像处理 324
' v( t- n' P8 H7 t5 kimshow(BW1);, L+ N! W. I0 X3 r7 c" d5 Y
BW2 = bwmorph(BW1,'remove');
* H Z. Y1 Q- w" yBW3 = bwmorph(BW1,'skel',Inf);7 s! B/ R* e2 l0 |. z6 x
imshow(BW2)
, G L' X3 P) U0 @figure, imshow(BW3)- H, z1 K$ s5 r; P' q
相关命令:% b* ~ ?% F, M' F' v+ q# C. n
bweuler, bwperim, dilate, erode0 A! s0 e4 |4 b7 v. g
( J% d+ [! o, @9 i) _5 k/ J7 f3 x5 Y5 u; z6 r- R/ d+ e$ ]
10.bwperim) D: R, R- N R0 I# s
功能:/ r) G9 f+ Q; P3 \ ]6 a8 E
计算二进制图像中对象的周长.3 v& s" ], u& j2 h8 a
语法:
6 p" R/ p0 {6 e( f1 r6 R& v# tBW2 = bwperim(BW1,n)
* B" H1 Z7 j$ i; q& p' v举例
5 j# G/ a. P4 |2 B0 Y' j+ q) uBW1 = imread('circbw.tif');2 R+ w/ c1 ?; X# n }2 D5 K
BW2 = bwperim(BW1,8);
" Q/ F x! ?6 g1 e8 himshow(BW1)
$ j0 a3 b- S. w8 vfigure, imshow(BW2)1 `; l2 v9 r# Y
附录 MATLAB图像处理命令 325. }# O: u1 G1 s" R1 Y' E
相关命令:% H4 C# a/ W1 w; S7 [
bwarea, bweuler, bwfill, b1 G F& u. ^# K4 F/ ^
! X" Y [ ^9 N8 r2 g' y a2 S
0 U1 x/ e$ \; @3 A8 R8 {# _11.bwselect e+ B: f$ e0 O$ t
功能:
: L' Y2 i, V2 s5 x: a# o在二进制图像中选择对象.
: N0 s- O2 Y& a语法:$ l% x# Z( X$ [9 y# ^
BW2 = bwselect(BW1,c,r,n)( M% L) q8 R( k H$ r8 H
BW2 = bwselect(BW1,n)+ o$ \! I$ h' @$ h% N
[BW2,idx] = bwselect(...)0 n, o% r/ e3 Q6 a" V- [$ n1 Z- j
举例4 v3 i( n# \. @3 |& o% ?4 x
BW1 = imread('text.tif');
+ w! s5 m) A, `6 D5 f8 I/ mc = [16 90 144];
* M1 S' O$ e) [* k5 J% K. I zr = [85 197 247];) Q4 g- F/ L4 k( Q
BW2 = bwselect(BW1,c,r,4);! c9 W( L( Z1 c. o/ b) o3 L6 ~
imshow(BW1)
; ?! b5 V4 s( O" dfigure, imshow(BW2)
$ q/ O& k; C3 J8 Q相关命令:
+ P1 o$ e6 a9 |2 E2 V( Y1 [bwfill, bwlabel, impixel, roipoly, roifill
1 ?9 b( I3 I$ o* |7 z+ V; S
- ? q8 A1 g% ?! m
' K& [0 D7 P/ `2 T4 l9 @12.cmpermute6 e( s, H- ]( x: p
MATLAB高级应用——图形及影像处理 326/ [3 \; u! ~2 p$ O- _
功能:. d2 Z8 n* E/ X& W: D1 Z/ i
调整颜色映像表中的颜色.
) }& g) m. Q- D: i语法:. t3 w: o1 W1 m1 {2 C3 {) @/ x" M
[Y,newmap] = cmpermute(X,map)
- W5 R4 _- m- R( N5 l[Y,newmap] = cmpermute(X,map,index)0 n7 n, b' L( ?# S
举例
! ~ H+ d; A% N0 jTo order a colormap by luminance, use:- W. J* N7 \8 ?1 h4 v
ntsc = rgb2ntsc(map);# F/ ?' x+ s3 n. y) Y; c
[dum,index] = sort(ntsc(:,1));
" X# z; V9 w+ {% ~[Y,newmap] = cmpermute(X,map,index);
$ q- l. h8 D/ Y9 k相关命令:. E/ B6 D! ]# x: Y( V8 R$ o$ Q
randperm
! h5 v) @2 @5 E5 A, [; s9 Y4 u
- Q1 p- M5 S* ~9 E
; `& ]. V' K8 p r7 L13.cmunique- ]6 R6 ?/ F7 f
功能:
! q% \" G0 t+ |9 {% c查找颜色映像表中特定的颜色及相应的图像.
" N, O3 W* V: h: x" H5 U语法: x8 @5 Q! @0 i# K. b8 f C) n
[Y,newmap] = cmunique(X,map)4 s) y, H# }0 E' E
[Y,newmap] = cmunique(RGB)
8 g8 S: \- ?) f" N[Y,newmap] = cmunique(I)
0 C* P( W6 h7 L相关命令:
% n6 [4 e9 P8 R0 c' Q& F' }gray2ind, rgb2ind8 [+ c- f0 t$ F q/ U
$ c" B2 U+ E% P8 ~4 N* j
* p+ S4 |: d' P+ w) I7 k0 u14.col2im9 i' Y/ x# X& _
功能:& O" B `0 Z& Y+ x
将矩阵的列重新组织到块中.
8 \7 J1 t/ W# `) h语法:+ X) Y7 g5 z2 h! n5 Z
A = col2im(B,[m n],[mm nn],block_type)
, d0 |$ q$ V7 e+ W' RA = col2im(B,[m n],[mm nn])
- c4 D) }& d, G4 j p! H' O相关命令:, [/ R* `% B* @0 s* Z
blkproc, colfilt, im2col, nlfilter
! e+ E* U7 h4 K2 L. ^" j. l$ M) G V
2 S2 L; @2 D5 q) f9 D' k
, m0 @8 y3 W9 B! P% n15.colfilt
$ t3 R% Z( G0 X0 Q. i功能:8 S6 [+ {7 ? Z$ N2 n0 v0 s( ?$ ~0 k
利用列相关函数进行边沿操作.
3 @' \6 |* y$ K; G2 T ]4 u8 o语法:$ D- ]+ `5 A6 @2 `( I! \: \" S
B = colfilt(A,[m n],block_type,fun)! t" Z! M6 H5 J/ ?7 E0 ]- @4 E
B = colfilt(A,[m n],block_type,fun,P1,P2,...)
' X- N; k2 _1 s, o% z! _2 y3 q% ZB = colfilt(A,[m n],[mblock nblock],block_type,fun,...)+ D3 z, n# G/ Q, P1 [: P
B = colfilt(A,'indexed',...), L& x# M) h q; i+ A
附录 MATLAB图像处理命令 327# \# x- l- j8 L+ I
相关命令:
% u/ E8 D0 r( R7 s0 {blkproc, col2im, im2col, nlfilter
( O4 p! _% ?% s; u' K% B: s
0 }; w% N7 ?1 b% \/ [
& B+ |. Z# P; C; a7 ?" k @7 |16.colorbar
0 S" k9 F* k; X: V( |2 c功能:
; w. K ?, `1 _6 t显示颜色条.
/ G: f4 V2 C$ P语法:: E& \8 X+ I, Q
colorbar('vert')
& \) f$ N% j! O3 @! W4 [! bcolorbar('horiz') [& G1 ]7 k6 Y( V! J$ I" z- L
colorbar(h)0 o; j$ Q. p9 ]9 r1 a- S% |; O7 J
colorbar; Q8 E* n" q) z& ?7 R
h = colorbar(...)
! A* z0 ^$ e; A, q6 i, B- v4 W举例
) Q/ x( r8 B1 VI = imread('blood1.tif');
; u. A9 t* @& p% }- T7 Qh = fspecial('log');
" ? d+ \6 v/ w5 bI2 = filter2(h,I);/ b3 Q! k* e" S% u
imshow(I2,[]), colormap(jet(64)), colorbar% l) `# r- K0 j) ~
: m9 {3 y$ }$ D: Y7 q: P. k1 S1 A1 e/ z# ~9 G
17.conv2
+ U% d. E3 w# O8 g5 \功能:
2 W( l# B, b! B. k# v* F" {7 z进行二维卷积操作.: Y4 F ?/ Y; ]0 \
语法:, G3 v) l/ P( m0 n) o0 j \
C = conv2(A,B)# n; p# S7 F" r( J# [
C = conv2(hcol,hrow,A)
) R1 {# v+ R) y6 g" B7 c( }C = conv2(...,shape)
/ g! `: `5 y) G" T举例% t, Q' j% X' X* P; Q. g2 q0 Q% m
A = magic(5)
Q9 b& }. ?% p( i3 lA =
5 Q3 J6 B" Q& O. A$ \4 s7 b17 24 1 8 15+ w$ a6 K+ s- D4 V! R- t
23 5 7 14 16; C; ^' m) R5 W; `7 x5 b2 E
4 6 13 20 22
3 v/ ^" [/ d, x H% J- o; C( K: mMATLAB高级应用——图形及影像处理 328- [5 N) l0 H( D( V6 I% R2 ]0 z7 }
10 12 19 21 3
) `) K: k N" x5 t( b: S$ Q1 c11 18 25 2 9
8 O# G P1 Q7 ~9 GB = [1 2 1;0 2 0;3 1 3]
7 N4 j) U/ J# S" n. ^B =/ u& l3 R9 r3 `0 {& ]! f
1 2 15 l. s; d( {; V+ T
0 2 0
% k: r, W& R6 _" V( G) H7 @' q3 1 3. g& ]; c4 J' ^
C = conv2(A,B)% s+ S# `+ s, V( p8 l& X
C =
5 _7 G* g" e2 E0 }: E7 i17 58 66 34 32 38 15
; D/ T6 d2 }' o' m4 Q23 85 88 35 67 76 16! B- ]7 p$ U# {- c- u7 U' F. ^' y
55 149 117 163 159 135 67# ^" S+ i! }9 r% e. ^9 j
79 78 160 161 187 129 519 J \6 J2 S' M$ H8 G8 W9 ] t) f0 b
23 82 153 199 205 108 75" Z$ u8 @- M" j! [; w( \, K6 b$ \
30 68 135 168 91 84 9
& C. F: v" B: w5 W33 65 126 85 104 15 27
* R& r" c" x+ ]6 T5 @+ O相关命令:; e! g! p, O1 K) {- _. i
filter2
8 q% R x. s. {- J5 o/ S
* @- |- I/ R7 e
) Z( ]) m8 q* J# D! M- W+ H18.convmtx28 ?- ?6 f( T; ?& i% d, @: V T
功能:
1 L; I& m7 ^ ?4 g/ {# V计算二维卷积矩阵.
; G; V) k9 M: m5 D; W+ I! p+ Q- \, ^语法:0 R# J2 Q6 P/ y, f% c
T = convmtx2(H,m,n)
/ t+ X% b4 C6 i2 |T = convmtx2(H,[m n])4 y% _6 o# i2 j
相关命令:
' F" j! y" i1 ?- c; Xconv2 A1 Y( U3 h; r+ {8 C. E) r- j
0 _, S. S- }. ~) {! Z3 Q/ O( W: S- O6 n5 f8 l- j' {7 s: t
19.convn
; c- ]) m6 E6 o功能: 计算n维卷积.( ^' f+ t" s8 ?7 @ C5 X1 l
语法:
+ Y, B. I7 m; L+ h5 ]8 nC = convn(A,B): P$ q( u+ V, P: r
C = convn(A,B,shape)
# p9 {* j4 o# y1 V7 n& h相关命令:
' K I5 Q6 O: a( r3 Rconv2( d+ W$ T% P& p k6 i" s
% Z3 E6 \8 |" |* M9 H: I! Y
6 B" r' { x" z0 h2 [" p7 ~) `20.corr28 b6 J" \( R1 U( q: U. M" V! I
功能:
2 @8 O1 ?/ J) Q" l, E1 l计算两个矩阵的二维相关系数.& f P, b: O2 f
附录 MATLAB图像处理命令 329* r0 \7 K2 a; V4 X" \ \( O
语法:- [) n& T5 {* E% J! q
r = corr2(A,B)
; } e3 K4 ]2 O* `0 q2 m" \7 }相关命令:
8 E7 }1 P" u* Z0 o: B2 O* fstd22 o7 \( f, B; g ?8 O1 @
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21.dct2( S+ X! q7 l9 {" }, Y
功能:6 d$ T/ |0 ]& g; o9 V
进行二维离散余弦变换.$ {8 }( t4 s& U
语法:
9 y, O" V5 \+ c" z1 }2 a$ LB = dct2(A)9 {: _7 c1 r! ?) h9 H0 C$ P
B = dct2(A,m,n), o }* N7 ]/ I" T" ?/ x
B = dct2(A,[m n])
' x, E6 D0 ^- l! X+ N3 E3 W( ~举例' I- ]% F! V2 p G; E
RGB = imread('autumn.tif');. u, E. b2 `6 B' Q, k: L
I = rgb2gray(RGB);$ W. ?0 X- L8 |9 i! w6 y. Z
J = dct2(I);0 ?/ B, ?. p7 e, B5 D. i; Q- b: O
imshow(log(abs(J)),[]), colormap(jet(64)), colorbar! Y1 D3 n# V/ X @
J(abs(J) < 10) = 0;
% M; x6 [1 p1 A. C( RK = idct2(J)/255;
% P, M2 \; D/ E! }! h& e- G7 D kimshow(K)" |/ [# s- V5 I
相关命令:
: w- F1 X3 G9 w, ^4 C/ Tfft2, idct2, ifft2
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