2 2.1 ( ) >> x=linspace(255,0,12) 2 x =
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1 2 2.1 ( ) >> x=linspace(255,0,12) 2 x = >> x=uint8(x) 10 x = uint >> I=reshape(x,[3 4]) 17 I = uint >> imtool(i, InitialMagnification, fit )
2 linspace ( ) float 8 (0 255) 16 reshape 3 4 (2 ) imtool InitialMagnification fit (1, 1) (2, 1) imtool MATLAB (1, 1) (2, 1), (1, 2) (width) (height) 4 3 RGB (Red, Green, Blue, RGB) 3 ( ) 2-1 ( ) 1 >> bar1=uint8(255*ones(500,100)); 2 >> bar0=zeros(500,100); 3 >> Col(:,:,1)=repmat([repmat(bar1,1,2) repmat(bar0,1,2)],1,2); 4 >> Col(:,:,2)=[repmat(bar1,1,4) repmat(bar0,1,4)]; 5 >> Col(:,:,3)=repmat([bar1 bar0],1,4);
3 >> imtool(col) MATLAB Col(:,:,1) 3 3 Col MATLAB : Col(:,:,1) C(1:end,1:end,1) MATLAB RGB 3 [255,0,0] 1 ones 2 zeros >> zeros(2) ans = >> ones(2,1) ans = 1 1 >> ones(1,2,3) ans(:,:,1) = 1 1 ans(:,:,2) = 1 1 ans(:,:,3) = repmat
4 >> x1=[1;2] 2 x1 = >> size(x1) 6 ans = >> repmat(x1,1,2) 9 ans = >> repmat(x1,2,1) 13 ans = >> repmat(x1,2,2) 19 ans = x1 2 1 repmat 1 ( ) 2 ( ) 3 8 x []
5 >> x2=[1 2; 3 4] 2 x2 = >> [x2 x2] 6 ans = >> [x2; x2] 10 ans = [] 9 ; 2.2 MATLAB 2.5 >> I=imread( peppers.png ); >> imtool(i, InitialMagnification, fit ) size 2.6 >> sz=size(i) sz = size
6 MATLAB imtool >> I=imread( peppers.png ); 2 >> hi=imtool(i, InitialMagnification, fit ); 3 >> [CI,rect]=imcrop(hI); 4 >> imtool(ci, InitialMagnification, fit ); 5 >> rect rect = >> CI2=imcrop(I,rect); 7 >> imwrite(ci, cropped_image.png ); imcrop 6 CI2 CI 7 MATLAB
7 >> C1=imread( greens.jpg ); 2 >> sz1=size(c1) sz1 = >> C2=imread( football.jpg ); 4 >> sz2=size(c2) sz2 = >> C1c=imcrop(C1,[ ]); 6 >> Cm=uint8(0.5*C1c+0.5*C2); 7 >> imtool(cm) 5 imcrop help C
8 >> v=videoreader( m4v ) 2 v = 3 VideoReader : 4 : 5 Name: m4v 6 Path: ( ) 7 Duration: CurrentTime: 0 9 Tag: 10 UserData: [] 11 : 12 Width: Height: FrameRate: BitsPerPixel: VideoFormat: RGB24 17 >> h=v.height; 18 >> w=v.width; 19 >> s=struct( cdata,zeros(h,w,3, uint8 ), colormap,[]); 20 >> k=1; 21 >> while hasframe(v) 22 s(k).cdata=readframe(v); 23 k=k+1; 24 end 25 >> implay(s) 26 >> imtool(s(1).cdata, InitialMagnification, fit ) 27 >> imtool(s(37).cdata, InitialMagnification, fit ) VideoReader (1 ) FrameRate 1 2. s h,w s MATLAB cdata colormap. cdata
9 26 2. h w RGB colormap RGB readframe VideoReader 1 hasframe 1 implay I,J I J (2.1) uint8 ( ) 2.10 >> a=uint8(10); >> b=uint8(16); >> a-b ans = uint8 0 uint8 0 I J =(I J)+(J I) (2.2) 2.3 ( )
10 >> I=imread( eight.tif ); >> imtool(i, InitialMagnification, fit ) MATLAB >> BW=zeros(size(I)); 2 >> BW(I<220)=1; 3 >> C=I; 4 >> C(BW==0)=0; 5 >> imtool(c, InitialMagnification, fit ) MATLAB
11 >> A=1:5 2 A = >> I=mod(A,2)==1 5 I = logical >> A(I) 9 ans = >> A(I)=0 12 A = A MATLAB (, true) 0(, false) I 8 I I C BW 0 0 ( ) 2-3 >> I=imread( football.jpg ); >> imtool(i, InitialMagnification, fit ) >> BW=ones(size(I,1),size(I,2)); >> BW(I(:,:,1)>11&I(:,:,1)<60& I(:,:,2)>11&I(:,:,2)<140&...
12 I(:,:,3)>15&I(:,:,3)<154)=0; >> M=repmat(BW,[1 1 3]); >> C=I; >> C(M==0)=0; >> imtool(c, InitialMagnification, fit ) 4 (r, g, b) ( ) 11 <r<60, 11 <g<140, 15 <b<154 (2.3) 6 repmat [1 1 3] 2 BW 3 3 MATLAB 2-2 MATLAB 2-4 ( ) 1 function M = creategraymask( I, R ) 2 %creatergbmask RGB 3 % M = creategraymask(i, [min max]), RGB 4 % I 1 5 % M 6
13 M=zeros(size(I,1),size(I,2)); 8 M(I(:,:,1)>R(1)&I(:,:,1)<R(2))=1; 9 end 1 M R 2 5 help imcrop 2.7 CI MATLAB max min 2.13 >> A=randi(10,[1 5]) A = >> v=max(a) v = 10 randi ( ) max 2
![1 >> A=randi(10,[3 4]) 2 A = 3 10 9 4 5 4 1 9 3 10 5 8 1 9 2 6 >> max(a) 7 ans = 8 10 9 9 10 9 >> max(max(a))](/docs-images/102/156485966/images/14-0.jpg "10 ans = 11 10 2.14 31 6 2 1 1 9 1 2 A 1 100 2 100 3 5 250 2.1 4 3 5 3 6 7 (0.2, 0.8), (0.5, 0.5), (0.7, 0.3)")
14 1 >> A=randi(10,[3 4]) 2 A = >> max(a) 7 ans = >> max(max(a)) 10 ans = A (0.2, 0.8), (0.5, 0.5), (0.7, 0.3)
15 V1,V m4v m4v V1,V2 fps V1 N V2 N VMix ( ) VMix=V1(1:end-N); VMix(length(V1)+1:length(V1)+length(V2)-N)=V2(N+1:end); for k=1:n VMix(length(V1)-N+k).cdata=uint8(V1(length(V1)-N+k).cdata... * + V2( ).cdata* ); end implay(vmix,fps); ( ) k k k 1 k k +1 viptraffic.avi
離散最適化基礎論 第 11回 組合せ最適化と半正定値計画法
11 okamotoy@uec.ac.jp 2019 1 25 2019 1 25 10:59 ( ) (11) 2019 1 25 1 / 38 1 (10/5) 2 (1) (10/12) 3 (2) (10/19) 4 (3) (10/26) (11/2) 5 (1) (11/9) 6 (11/16) 7 (11/23) (11/30) (12/7) ( ) (11) 2019 1 25 2
【知事入れ版】270804_鳥取県人口ビジョン素案
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11.noise.rtfd
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掲示用ヒート表 第34回 藤沢市長杯 2017
34 8 4 2 Round 1 Round 2 SEMI FINAL 30 16 8 H1 H5 H1 H1 Red 12401821 2 Red 12601360 2 1-1 Red 12501915 1 1-1 Red 12501915 4 White 12900051 4 White 12600138 3 3-1 White 12802412 2 3-1 White 12801091 1 Yellow
スライド 1
グラフィックスの世界第 3 回 サイバーメディアセンター サイバーコミュニティ研究部門安福健祐 Processing によるアニメーション setup と draw void setup() size(400, 400); void draw() ellipse( mousex,mousey,100,100); void とか setup とか draw とかはじめて見る が出てきてややこしい ellipseは円描く関数でした
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Q.5-1 Ans.
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★結果★ 藤沢市長杯 掲示用ヒート表
AA 35 Round 1 8 4 Round 2 28 16 SEMI FINAL H1 H5 H1 H1 Red 12802015 1 Red 12802109 1 1-1 Red 12802015 2 1-1 Red 12702346 White 12800232 2 White 12702406 3 3-1 White 12702346 1 3-1 White 12802109 Yellow
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平成１８年度「商品先物取引に関する実態調査」報告書
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31 4 MATLAB A, B R 3 3 A = , B = mat_a, mat_b >> mat_a = [-1, -2, -3; -4, -5, -6; -7, -8, -9] mat_a =
![31 4 MATLAB A, B R 3 3 A = , B = mat_a, mat_b >> mat_a = [-1, -2, -3; -4, -5, -6; -7, -8, -9] mat_a =](/thumbs/99/140476730.jpg "31 4 MATLAB A, B R 3 3 A = , B = mat_a, mat_b >> mat_a = [-1, -2, -3; -4, -5, -6; -7, -8, -9] mat_a =")
3 4 MATLAB 3 4. A, B R 3 3 2 3 4 5 6 7 8 9, B = mat_a, mat_b >> mat_a = [-, -2, -3; -4, -5, -6; -7, -8, -9] 9 8 7 6 5 4 3 2 mat_a = - -2-3 -4-5 -6-7 -8-9 >> mat_b = [-9, -8, -7; -6, -5, -4; -3, -2, -]
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課題
float[] xball; float[] yball; int numberofballs = (a) ; int radius=10; size(400,400); xball = (b) (c) [numberofballs]; yball = (d) (e) [numberofballs]; xball[i] = random(radius,width-radius); yball[i]
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コンピュータグラフィックス - 第4回 色彩の表現
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課題
int[] scores; PFont font; int[] scores = { (a) ; PFont font; size(300,400); scores = (a); scores[0] = 10000; scores[1] = 9000; scores[2] = 5000; scores[3] = 1000; scores[4] = 30; font = loadfont("serif-48.vlw");
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課題
2018 6 22 2. float[] y = new float[5]; void setup() { size(400, 200); for (int i=0;i< (a) ;i++) { y[i] = random(0.3*width, width); void draw() { y[ (b) ] = mousex; int minpos = findminpos( (c) ); for (int
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課題
int starttime_msec; boolean counting = false; size(400,200); smooth(); //font は各自のものに変更してください font = loadfont("serif-48.vlw"); void mouseclicked(){ counting = true; starttime_msec = millis(); int t=0;
CSSNiteLP51-s7-kubo.key
CSS Nite LP51 Reboot Dreamweaver Dreamweaver 10th .foo width: 980px margin: auto p margin: 1em 0 a color: #000 text-decoration: none .foo { width: 980px; margin: auto; p { margin: 1em 0; a { color:
新版明解Ｃ言語 実践編
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AHPを用いた大相撲の新しい番付編成
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main.dvi
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課題
float xball;// 円の中心の X 座標 float yball; // 円の中心の Y 座標 float rball; // 円の半径 color cball; // 円の色 // 円を移動させる void updateball(){ yball -= 1; if(yball+rball< 0){ yball = height+rball; // 円を描く void drawball(){
# let st1 = {name = "Taro Yamada"; id = };; val st1 : student = {name="taro Yamada"; id=123456} { 1 = 1 ;...; n = n } # let string_of_student {n
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