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- きみえ ももき
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1 16 Edge emphasis filter of images that uses Histogram
2 RGB 9,, i
3 Abstract Edge emphasis filter of images that uses Histogram Noriaki Okamoto Theedgeemphasisfilter is usually used to recognize images of a face, printed wiring board, and general scenes. In many cases, it feature of the edge is emphasized by the filter which uses an operator. However, the filters sometimes can t accurately emphasize the edges of the images. In this paper, we have been proposed a filter which emphasizes theedgebyanoperatormadewiththeimage shistogram. Moreover,wehavebeen verified another filter which made with a histogram of a non-rgb color model image. Finally, we have been used the common filter to assess the validity of the proposed filters by experimenting with nine testers. key words Histogram, Raprashian, Edge emphasis filter ii
4 Roberts Prewitt Sobel iii
5 ( ) Filter A 42 B 45 C 46 iv
6 1.1 ( ) ( ) ( ) Roberts ( ) ( ) Roberts ( ) ( ) Roberts Prewitt ( ) ( ) Prewitt ( ) ( ) Prewitt Sobel ( ) ( ) Sobel ( ) ( ) Sobel ( ) v
7 4.17 ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) (2 ) ( ) ( ) ( ) ( ) ( ) ( ) Filter ( ) ( ) Filter HSV Filter YUV Filter8 ( ) ( ) RGB HSV YUV Filter vi
8 Filter Filter Filter Filter Filter8(HSV H) Earth.png Balloon.png Mandrill.png A.1 Aerial.eps A.2 Airplane.eps A.3 Balloon.eps A.4 couple.eps A.5 Earth.eps A.6 Girl.eps A.7 Lenna.eps vii
9 A.8 Mandrill.eps A.9 milkdrop.eps A.10 Parrots.eps A.11 Pepper.eps A.12 Sailboat.eps B.1 kanban.eps( ) B.2 kanban g.eps( ) B.3 copen.eps B.4 test 01.eps C.1 c 01.eps C.2 c 01n.eps C.3 c 02.eps C.4 c 02n.eps viii
10 imgarray.java imgarray.java ex fil.java ix
11 1 8 2 ( ) Prewitt Sobel Prewitt Sobel P P(i,j) Q(i,j) P P(i,j) 3 3 OP(i-1,j-1) OP(i+1,j+1) Q(i,j) 1.1 ( ) ( ) ( ) 1
12 Q (i,j) = 1X ³ 1X j= 1 i= 1 (OP (i,j) P (i,j) ) (1.1) Q(i,j) (i,j) 24bitRGB 2
13
14 4
15 3 3.1 SIDBA Standard Image Data-BAse 3.1 Balloon.png CCD
16 HSV YUV HSV YUV YUV
17 HSV YUV
18 HSV YUV
19 JPEG JPEG RAW JPEG TIFF JPEG JPEG BMP 24bit PNG PNG GIF JPEG PNG 9
20
21 CPU AMD AthlonXP RAM PC MB 2 OS Windows2000Professional( ) Sun Microsystems Java 2 SDK,SE v1.4.2 EDITOR v CPU RAM OS Intel Pentium4 3.2GHz PC3200 DDR 1GB WindowsXP Professional( ) imgarray.java 11
22 3.3 RGB RGB RGB 24bit HSV YUV RGB ex fil.java main imgarray java ex fil -Filter8(RGB) test.jpg png test ex fil.class test.jpg Filter8 test Filter8.png GUI GUI ex fil.java imgarray.java 3.3 filename String pix int[] ( ) width int height int 3.4 imgarray.java 12
23 3.3 imgarray void String filename imgarray void int x,y, String filename imgarray void N/A getfilename String N/A setfilename void String FileName getw int N/A setw void int neww geth int N/A seth void int newh getr/g/b int int x,y RGB / / setr/g/b void int x,y,z RGB / / getrgb int int x,y 24bit RGB setrgb void int x,y,z 24bit RGB getyuv int int x,y,yuv YUV (yuv:0=y,1=u,2=v, =Y) gethsv int int x,y,hsv HSV (hsv:0=h,1=s,2=v, =H) outputimg void String outfilename PNG outputimg void String outfilename, int Fo outputimg void String outfilename, String Fo copyarray imgarray N/A 3.5 imgarray.java Filter5 C Filter7 Filter5 Filter8 Filter8 Filter8 Filter Filter8 Filter
24 3.3 main void String[] args F choose cmykw imgarray imgarray inarr,int C F nega imgarray imgarray inarr F gray avg imgarray imgarray inarr (RGB ) F gray rgb imgarray imgarray inarr, int C (RGB ) F gray big imgarray imgarray inarr (RGB ) F gray mini imgarray imgarray inarr (RGB ) F mirror h imgarray imgarray inarr ( ) F mirror v imgarray imgarray inarr ( ) E p diff x imgarray imgarray inarr 1 (X ) E p diff y imgarray imgarray inarr 1 (Y ) E p diff xy imgarray imgarray inarr 1 E s diff imgarray imgarray inarr E prewitt imgarray imgarray inarr Prewitt E sobel imgarray imgarray inarr Sobel E gradient imgarray imgarray inarr E roberts imgarray imgarray inarr Roberts E 4kin imgarray imgarray inarr 4 E 8kin imgarray imgarray inarr 8 E Kirsch imgarray imgarray inarr Kirsch op process imgarray imgarray inarr, int[] op 1, int[] op 2 3X3 op process spot int imgarray inarr, int[] op 1, int[] op 2, 3X3 intx,inty,intc histgram imgarray imgarray inarr (RGB ) histgram rgb imgarray imgarray inarr, int C (RGB ) data rgb imgarray imgarray inarr, String FN RGB CSV yuv imgarray imgarray inarr, String YUV YUV filter 5 imgarray imgarray inarr, int V Filter5 filter 6 imgarray imgarray inarr Filter6 filter 7 imgarray imgarray inarr Filter7 hist paint 1 imgarray imgarray inarr HSV H imgarray imgarray inarr HSV HSV S imgarray imgarray inarr HSV HSV V imgarray imgarray inarr HSV HSV RGB imgarray imgarray inarr HSV RGB SuperHistgram imgarray imgarray inarr color model imgarray imgarray inarr, String CM color model hist imgarray imgarray inarr, String CM color model hist draw imgarray imgarray inarr, String CM Filter8 imgarray imgarray inarr, String CM Filter8 Filter9 imgarray imgarray inarr, String CM Filter9 FilterA imgarray imgarray inarr, String CM FilterA FilterB imgarray imgarray inarr, String CM FilterB FilterC imgarray imgarray inarr, String CM FilterC 3.6 ex fil.java Filter
25
26 4 4.1 RGB 24bit CG Sobel Prewitt Roberts Filter CPU AMD AthlonXP RAM PC MB 2 OS Windows2000Professional( ) Sun Microsystems Java 2 SDK,SE v CPU RAM OS Intel PentiumM 1.7GHz PC2700 SODIM 512MB WindowsXP Home( ) MS-Office2003 Excel2003 VBA
27 FinePix S ( 314 ) 1/2.7 CCD HR/ xd- 16MB 512MB DCF Exif Ver.2.2 JPEG /DPOF CCD- RAW / / / (pixcel) 10 f=5.7mm 57mm(35mm :37mm 370mm ) F F2.8 F3.2 F2.8 F8 10 1/3 [ ] 90cm /[ ] 2.0m, [ ] 10cm 2.0m/[ ] 90cm 2.0m AUTO ISO ISO TTL64 / / / AE/ AE/ -2.0EV +2.0EV 1/3EV 2 1/2000 AF TTL AF AF / ( / / / / / )
28 Roberts Roberts (x,y) (x,y+1) Roberts 4.1 Roberts 4.2 ( ) 4.3 ( ) Roberts 4.4 ( ) 4.5 ( ) Roberts 18
29 Prewitt Prewitt Prewitt 4.7 ( ) 4.8 ( ) Prewitt 4.9 ( ) 4.10 ( ) Prewitt 19
30 Sobel Sobel Prewitt 2 Prewitt 4.11 Sobel 4.12 ( ) 4.13 ( ) Sobel 4.14 ( ) 4.15 ( ) Sobel 20
31 ( ) 4.17 ( ) ( ) 4.19 ( ) 4 21
32 ( ) 4.21 ( ) ( ) 4.23 ( ) 8 22
33 ( ) 4.26 ( ) ( ) 4.28 ( ) 1 23
34 ( ) (2 ) 4.29 (2 ) 4.30 ( ) 4.31 ( ) ( ) 4.33 ( ) 2 24
35 4.4 Filter8 4.4 Filter ( ) 4.35 ( ) Filter ( ) 4.37 ( ) Filter8 25
36 Java Filter public static imgarray Filter8(imgArray inarr, String CM) { System.out.println("* EDGE:Filter8(" + CM + ") [" + inarr.getfilename() + "]..."); int[][][] temparr = new int[3][inarr.getw()][inarr.geth()]; imgarray outarr = new imgarray(inarr.getw(),inarr.geth(),"filter8(" + CM + ")"); int[] hist = new int[360]; int max = 255; int big = 0; int f = 1000; if (CM.equals("RGBR")) { max = 255; } else if (CM.equals("RGBG")) { max = 255; } else if (CM.equals("RGBB")) { max = 255; } else if (CM.equals("HSVH")) { max = 359; } else if (CM.equals("HSVS")) { max = 100; } else if (CM.equals("HSVV")) { max = 100; } else if (CM.equals("YUVY")) { max = 255; } else if (CM.equals("YUVU")) { max = 255; } else if (CM.equals("YUVV")) { max = 255; } else { max = 255; } // for (int y=0; y<inarr.geth(); y++) { for (int x=0; x<inarr.getw(); x++) { int P; int R, G, B; if (CM.equals("RGBR")) { P = inarr.getr(x,y); } else if (CM.equals("RGBG")) { P = inarr.getg(x,y); } else if (CM.equals("RGBB")) { P = inarr.getb(x,y); } else if (CM.equals("HSVH")) { P = inarr.gethsv(x,y,0); if (P >= 360) { P = (P % 360); } else if (P < 0 ) { P = P + 360; } } else if (CM.equals("HSVS")) { P = inarr.gethsv(x,y,1); } else if (CM.equals("HSVV")) { P = inarr.gethsv(x,y,2); } else if (CM.equals("YUVY")) { P = inarr.getyuv(x,y,0); } else if (CM.equals("YUVU")) { P = inarr.getyuv(x,y,1); } else if (CM.equals("YUVV")) { P = inarr.getyuv(x,y,2); } else { P = 0; } 26
37 4.5 hist[p]++; if (hist[p] > big) { big = hist[p]; } } } // for (int y=0; y<inarr.geth(); y++) { for (int x=0; x<inarr.getw(); x++) { int P; int R, G, B; if (CM.equals("RGBR")) { P = inarr.getr(x,y); } else if (CM.equals("RGBG")) { P = inarr.getg(x,y); } else if (CM.equals("RGBB")) { P = inarr.getb(x,y); } else if (CM.equals("HSVH")) { P = inarr.gethsv(x,y,0); if (P >= 360) { P = (P % 360); } else if (P < 0 ) { P = P + 360; } } else if (CM.equals("HSVS")) { P = inarr.gethsv(x,y,1); } else if (CM.equals("HSVV")) { P = inarr.gethsv(x,y,2); } else if (CM.equals("YUVY")) { P = inarr.getyuv(x,y,0); } else if (CM.equals("YUVU")) { P = inarr.getyuv(x,y,1); } else if (CM.equals("YUVV")) { P = inarr.getyuv(x,y,2); } else { P = 0; } R = G = B = P; if (CM.equals("HSVH")) { int H, S, V; H = (P % 360); S = 100; V = 100; R = (int)((math.cos(math.max(0,math.toradians((double)(h + 0)))) * )); G = (int)((math.cos(math.max(0,math.toradians((double)(h + 240)))) * )); B = (int)((math.cos(math.max(0,math.toradians((double)(h + 120)))) * )); R = Math.min(255,Math.max(0,R)); G = Math.min(255,Math.max(0,G)); B = Math.min(255,Math.max(0,B)); } temparr[0][x][y] = hist[r] * f / big; temparr[1][x][y] = hist[g] * f / big; temparr[2][x][y] = hist[b] * f / big; } } for (int y=1; y<inarr.geth()-1; y++) { for (int x=1; x<inarr.getw()-1; x++) { int R, G, B; R = Math.max( Math.min( ( (inarr.getr(x+1,y ) * temparr[0][x+1][y ] ) + (inarr.getr(x-1,y ) * temparr[0][x-1][y ] ) + (inarr.getr(x,y+1) * temparr[0][x ][y+1] ) 27
38 4.5 + (inarr.getr(x,y-1) * temparr[0][x ][y-1] ) - (inarr.getr(x,y ) * temparr[0][x ][y ] * 4) ) / f,255),0); G = Math.max( Math.min( ( (inarr.getg(x+1,y ) * temparr[1][x+1][y ] ) + (inarr.getg(x-1,y ) * temparr[1][x-1][y ] ) + (inarr.getg(x,y+1) * temparr[1][x ][y+1] ) + (inarr.getg(x,y-1) * temparr[1][x ][y-1] ) - (inarr.getg(x,y ) * temparr[1][x ][y ] * 4) ) / f,255),0); B = Math.max( Math.min( ( (inarr.getb(x+1,y ) * temparr[2][x+1][y ] ) + (inarr.getb(x-1,y ) * temparr[2][x-1][y ] ) + (inarr.getb(x,y+1) * temparr[2][x ][y+1] ) + (inarr.getb(x,y-1) * temparr[2][x ][y-1] ) - (inarr.getb(x,y ) * temparr[2][x ][y ] * 4) ) / f,255),0); outarr.setr(x,y,r); outarr.setg(x,y,g); outarr.setb(x,y,b); } } } System.out.println(" return outarr; done."); 28
39
40 HSV Filter YUV Filter8 ( ) ( ) RBG 24bit RGB RGB RGB 3 3 HSV YUV HSV YUV HSV HSV YUV RGB 2 RGB Filter8 30
41 RGB HSV YUV Filter Filter8 HSV HSV HSV H S V Filter YUV Filter8 YUV Y U V 4.41 RGB HSV YUV HSV YUV U V 31
42 (2 ) Filter Filter8 32
43 Filter Filter Sobel Prewitt Filter Balloon.png Mandrill.png Filter8 Balloon.png 4.57 Filter8 Mandrill.png
44
45 Filter8(HSV H) Earth.png Filter8 Filter8 HSV H 4.56 H 35
46 Balloon.png 4.58 Mandrill.png 36
47 Baloon.png 2 Filter Balloonn.png Filter8 test 01.jpg Filter8 2 Filter8 37
48 Filter Filter8 5.1 HSV H S V YUV U V Y 38
49 Filter
50 CAST CAST
51 [1] :,Ohmsha, p.56-62,2002. [2] :,, p.76-82,2001. [3] 41
52 A A.1 Aerial.eps A.2 Airplane.eps A.3 Balloon.eps A.4 couple.eps 42
53 A.5 Earth.eps A.6 Girl.eps A.7 Lenna.eps A.8 Mandrill.eps 43
54 A.9 milkdrop.eps A.10 Parrots.eps A.11 Pepper.eps A.12 Sailboat.eps 44
55 B B.1 B.2 kanban.eps( ) kanban g.eps( ) B.3 copen.eps B.4 test 01.eps 45
56 C C.1 c 01.eps C.2 c 01n.eps C.3 c 02.eps C.4 c 02n.eps 46
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25 To construct the system that promote a interactive method as a knowledge acquisition 1140317 2014 2 28 , IT.,.,..,.. i Abstract To construct the system that promote a interactive method as a knowledge
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23 Study on Generation of Sudoku Problems with Fewer Clues
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24 Web Proposal of Web Application Password Operations Management System 1130343 2013 3 1 Web Web ID Web 16 Web Web i Abstract Proposal of Web Application Password Operations Management System Tatsuro
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19 Development of moving image delivery system for elementary school 1080337 2008 3 10 Web Basic Web SAS-2 Web SAS-2 i Abstract Development of moving image delivery system for elementary school Ayuko INOUE
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28 Research of password manager using pattern lock and user certificate 1170369 2017 2 28 Web Web Web Web i Abstract Research of password manager using pattern lock and user certificate Takuya Mimoto In
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GPGPU
GPGPU 2013 1008 2015 1 23 Abstract In recent years, with the advance of microscope technology, the alive cells have been able to observe. On the other hand, from the standpoint of image processing, the
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22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity
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1 Table 1: Identification by color of voxel Voxel Mode of expression Nothing Other 1 Orange 2 Blue 3 Yellow 4 SSL Humanoid SSL-Vision 3 3 [, 21] 8 325
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社団法人人工知能学会 Japanese Society for Artificial Intelligence 人工知能学会研究会資料 JSAI Technical Report SIG-Challenge-B3 (5/5) RoboCup SSL Humanoid A Proposal and its Application of Color Voxel Server for RoboCup SSL
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26 Discrimination of abnormal breath sound by using the features of breath sound 1150313 ,,,,,,,,,,,,, i Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo
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22 A person recognition using color information 1110372 2011 2 13 ,,.,.,,.,.,.,.,,.,..,,,, i Abstract A person recognition using color information Tatsumo HOJI Recently, for the purpose of collection of
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25 Estimation scheme of indoor positioning using difference of times which chirp signals arrive 114348 214 3 6 , (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,,
25 Removal of the fricative sounds that occur in the electronic stethoscope
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1,a) 1,b) 1/f β Generation Method of Animation from Pictures with Natural Flicker Abstract: Some methods to create animation automatically from one picture have been proposed. There is a method that gives
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