I = imread('ASL-1.jpg'); figure, imshow(I); Ir = I(:,:,1); Ig = I(:,:,2); Ib = I(:,:,3); bitshift(255,4) ans = 4080 bitshift(255,-4) ans = 15 Ir = uint16(I(:,:,1)); Ig = uint16(I(:,:,2)); Ib = uint16(I(:,:,3)); CI = bitshift(bitshift(Ir,-4),8) + bitshift(bitshift(Ig,-4),4) + bitshift(Ib,-4); I(1:5,1:5,:) ans(:,:,1) = 71 66 67 67 74 72 68 67 67 69 69 58 69 69 67 62 66 68 69 72 47 68 59 64 68 ans(:,:,2) = 62 57 58 58 65 64 60 59 59 61 63 52 63 63 61 57 63 65 66 68 43 67 59 64 70 ans(:,:,3) = 105 100 101 101 108 105 101 100 100 102 97 86 99 101 99 89 94 96 97 101 78 99 85 88 95 CI(1:5,1:5) ans = 1078 1078 1078 1078 1094 1094 1078 1078 1078 1078 1078 821 1078 1078 1078 821 1077 1094 1094 1094 548 1094 821 1093 1093 I(1:5,120:125,:) ans(:,:,1) = 196 192 194 182 185 204 191 203 196 195 191 197 191 190 201 193 193 201 188 183 184 186 186 193 185 181 179 189 188 188 ans(:,:,2) = 182 182 186 174 177 196 180 193 189 188 183 189 180 183 194 188 187 193 177 176 178 181 181 185 172 172 173 184 182 181 ans(:,:,3) = 153 157 165 151 154 175 152 168 163 162 160 168 158 155 165 158 161 172 159 147 144 149 152 164 156 143 137 152 156 162 CI(1:5,120:125) ans = 3257 3257 3258 2985 3001 3274 3001 3274 3258 3258 3002 3258 3001 3001 3274 3257 3258 3274 3001 3001 3001 3001 3001 3258 2985 2984 2984 3001 3001 3002 help binary --- help for ftp/binary.m --- BINARY Sets binary transfer type. BINARY(F) sets binary transfer type for the FTP object F. help bin bin.m not found. Use the Help browser Search tab to search the documentation, or type "help help" for help command options, such as help for methods. help hex hex.m not found. Use the Help browser Search tab to search the documentation, or type "help help" for help command options, such as help for methods. dec2bin(CI(1:5,120:125)) ans = 110010111001 101110111001 101110111001 101110111001 101110101001 110010111001 110011001010 101110111001 101110111001 101110101000 110010111010 110010111010 110011001010 101110111001 101110101000 101110101001 110010111010 110010111001 101110111001 101110111001 101110111001 101110111010 110010111010 101110111001 101110111001 110011001010 110010111010 110011001010 110010111010 101110111010 dec2hex(CI(1:5,120:125)) ??? Operands to the || and && operators must be convertible to logical scalar values. Error in ==> dec2hex at 23 if ~isreal(d) || any(d < 0) || any(d ~= fix(d)) help dec2hex DEC2HEX Convert decimal integer to hexadecimal string. DEC2HEX(D) returns a 2-D string array where each row is the hexadecimal representation of each decimal integer in D. D must contain non-negative integers smaller than 2^52. DEC2HEX(D,N) produces a 2-D string array where each row contains an N digit hexadecimal number. Example dec2hex(2748) returns 'ABC'. See also hex2dec, hex2num, dec2bin, dec2base. Reference page in Help browser doc dec2hex dec2hex(CI(1:1,120:125)) ans = CB9 CB9 CBA BA9 BB9 CCA dec2bin(CI(1:1,120:125)) ans = 110010111001 110010111001 110010111010 101110101001 101110111001 110011001010 CI(1:1,120:125) ans = 3257 3257 3258 2985 3001 3274 CI(1:1,1:5) ans = 1078 1078 1078 1078 1094 dec2bin(CI(1:1,1:5)) ans = 10000110110 10000110110 10000110110 10000110110 10001000110 dec2hex(CI(1:1,1:5)) ans = 436 436 436 436 446 Ir = uint8(Ir); figure, imshow(Ir); t = graythresh(Ir) t = 0.3843 Ibw = im2bw(Ir, t); figure, imshow(Ibw) Ic = I; ind = find(Ibw > 0); ind = find(Ibw == 0); Ic(ind) = 0; figure, imshow(Ic); . ??? . | Error: Missing variable or function. Ic(ind+240*320) = 0; figure, imshow(Ic); whos Name Size Bytes Class CI 240x320 153600 uint16 array I 240x320x3 230400 uint8 array Ib 240x320 153600 uint16 array Ibw 240x320 76800 logical array Ic 240x320x3 230400 uint8 array Ig 240x320 153600 uint16 array Ir 240x320 76800 uint8 array ans 5x3 30 char array ind 62146x1 497168 double array t 1x1 8 double array Grand total is 906962 elements using 1572406 bytes Ic(ind+2*240*320) = 0; figure, imshow(Ic); 110010111010 ans = 1.1001e+11 101110111001 ans = 1.0111e+11 101110111001 ans = 1.0111e+11 110011001010 ans = 1.1001e+11 110010111010 ans = 1.1001e+11 110011001010 ans = 1.1001e+11 110010111010 ans = 1.1001e+11 101110111010 ans = 1.0111e+11 >> dec2hex(CI(1:5,120:125)) ??? >> dec2hex(CI(1:5,120:125)) | Error: Missing variable or function. ind0 = find(Ibw > 0); Icb = I; Icb(ind0) = 0; Icb(ind0+240*320) = 0; Icb(ind0+240*320*2) = 0; figure, imshow(Icb); help hist HIST Histogram. N = HIST(Y) bins the elements of Y into 10 equally spaced containers and returns the number of elements in each container. If Y is a matrix, HIST works down the columns. N = HIST(Y,M), where M is a scalar, uses M bins. N = HIST(Y,X), where X is a vector, returns the distribution of Y among bins with centers specified by X. Note: Use HISTC if it is more natural to specify bin edges instead. [N,X] = HIST(...) also returns the position of the bin centers in X. HIST(...) without output arguments produces a histogram bar plot of the results. HIST(AX,...) plots into AX instead of GCA. Class support for inputs Y, X: float: double, single See also histc. Reference page in Help browser doc hist help histc HISTC Histogram count. N = HISTC(X,EDGES), for vector X, counts the number of values in X that fall between the elements in the EDGES vector (which must contain monotonically non-decreasing values). N is a LENGTH(EDGES) vector containing these counts. N(k) will count the value X(i) if EDGES(k) <= X(i) < EDGES(k+1). The last bin will count any values of X that match EDGES(end). Values outside the values in EDGES are not counted. Use -inf and inf in EDGES to include all non-NaN values. For matrices, HISTC(X,EDGES) is a matrix of column histogram counts. For N-D arrays, HISTC(X,EDGES) operates along the first non-singleton dimension. HISTC(X,EDGES,DIM) operates along the dimension DIM. [N,BIN] = HISTC(X,EDGES,...) also returns an index matrix BIN. If X is a vector, N(K) = SUM(BIN==K). BIN is zero for out of range values. If X is an m-by-n matrix, then, for j=1:n, N(K,j) = SUM(BIN(:,j)==K); end Use BAR(EDGES,N,'histc') to plot the histogram. Example: histc(pascal(3),1:6) produces the array [3 1 1; 0 1 0; 0 1 1; 0 0 0; 0 0 0; 0 0 1] Class support for inputs X,EDGES: float: double, single See also hist. Reference page in Help browser doc histc un = unique(CI); whos un Name Size Bytes Class un 220x1 440 uint16 array Grand total is 220 elements using 440 bytes un un = 37 38 54 278 279 292 293 294 295 296 309 310 311 312 326 327 328 534 548 549 550 551 552 565 566 567 568 581 582 583 584 585 598 599 600 601 805 806 821 822 823 824 837 838 839 840 841 854 855 856 857 871 872 873 874 1077 1078 1079 1093 1094 1095 1096 1110 1111 1112 1113 1126 1127 1128 1129 1130 1143 1144 1349 1350 1351 1365 1366 1367 1368 1382 1383 1384 1385 1399 1400 1401 1416 1606 1607 1621 1622 1623 1624 1637 1638 1639 1640 1655 1656 1657 1671 1672 1673 1688 1878 1879 1880 1893 1894 1895 1896 1910 1911 1912 1913 1926 1927 1928 1929 1944 1945 1946 2151 2152 2166 2167 2168 2169 2182 2183 2184 2185 2199 2200 2201 2202 2216 2217 2218 2423 2424 2425 2438 2439 2440 2441 2455 2456 2457 2458 2472 2473 2474 2475 2488 2489 2490 2491 2695 2696 2697 2711 2712 2713 2714 2728 2729 2730 2731 2744 2745 2746 2747 2761 2762 2763 2968 2969 2984 2985 2986 3000 3001 3002 3003 3017 3018 3019 3020 3034 3035 3036 3241 3242 3257 3258 3259 3273 3274 3275 3276 3290 3291 3292 3307 3308 3530 3531 3546 3547 3548 3563 3564 3580 3803 3804 3819 3820 3837 un0 = unique(CI(ind0)) un0 = 1606 1607 1621 1622 1623 1624 1637 1638 1639 1640 1655 1656 1657 1671 1672 1673 1688 1878 1879 1880 1893 1894 1895 1896 1910 1911 1912 1913 1926 1927 1928 1929 1944 1945 1946 2151 2152 2166 2167 2168 2169 2182 2183 2184 2185 2199 2200 2201 2202 2216 2217 2218 2423 2424 2425 2438 2439 2440 2441 2455 2456 2457 2458 2472 2473 2474 2475 2488 2489 2490 2491 2695 2696 2697 2711 2712 2713 2714 2728 2729 2730 2731 2744 2745 2746 2747 2761 2762 2763 2968 2969 2984 2985 2986 3000 3001 3002 3003 3017 3018 3019 3020 3034 3035 3036 3241 3242 3257 3258 3259 3273 3274 3275 3276 3290 3291 3292 3307 3308 3530 3531 3546 3547 3548 3563 3564 3580 3803 3804 3819 3820 3837 whos un0 Name Size Bytes Class un0 132x1 264 uint16 array Grand total is 132 elements using 264 bytes un1 = unique(CI(ind)) un1 = 37 38 54 278 279 292 293 294 295 296 309 310 311 312 326 327 328 534 548 549 550 551 552 565 566 567 568 581 582 583 584 585 598 599 600 601 805 806 821 822 823 824 837 838 839 840 841 854 855 856 857 871 872 873 874 1077 1078 1079 1093 1094 1095 1096 1110 1111 1112 1113 1126 1127 1128 1129 1130 1143 1144 1349 1350 1351 1365 1366 1367 1368 1382 1383 1384 1385 1399 1400 1401 1416 1606 1607 1621 1622 1623 1624 1639 1640 1655 1656 1657 help histc HISTC Histogram count. N = HISTC(X,EDGES), for vector X, counts the number of values in X that fall between the elements in the EDGES vector (which must contain monotonically non-decreasing values). N is a LENGTH(EDGES) vector containing these counts. N(k) will count the value X(i) if EDGES(k) <= X(i) < EDGES(k+1). The last bin will count any values of X that match EDGES(end). Values outside the values in EDGES are not counted. Use -inf and inf in EDGES to include all non-NaN values. For matrices, HISTC(X,EDGES) is a matrix of column histogram counts. For N-D arrays, HISTC(X,EDGES) operates along the first non-singleton dimension. HISTC(X,EDGES,DIM) operates along the dimension DIM. [N,BIN] = HISTC(X,EDGES,...) also returns an index matrix BIN. If X is a vector, N(K) = SUM(BIN==K). BIN is zero for out of range values. If X is an m-by-n matrix, then, for j=1:n, N(K,j) = SUM(BIN(:,j)==K); end Use BAR(EDGES,N,'histc') to plot the histogram. Example: histc(pascal(3),1:6) produces the array [3 1 1; 0 1 0; 0 1 1; 0 0 0; 0 0 0; 0 0 1] Class support for inputs X,EDGES: float: double, single See also hist. Reference page in Help browser doc histc edges = 0:4096 edges = Columns 1 through 8 0 1 2 3 4 5 6 7 Columns 9 through 16 8 9 10 11 12 13 14 15 Columns 17 through 24 16 17 18 19 20 21 22 23 Columns 25 through 32 24 25 26 27 28 29 30 31 Columns 33 through 40 32 33 34 35 36 37 38 39 Columns 41 through 48 40 41 42 43 44 45 46 47 Columns 49 through 56 48 49 50 51 52 53 54 55 Columns 57 through 64 56 57 58 59 60 61 62 63 Columns 65 through 72 64 65 66 67 68 69 70 71 Columns 73 through 80 72 73 74 75 76 77 78 79 Columns 81 through 88 80 81 82 83 84 85 86 87 Columns 89 through 96 88 89 90 91 92 93 94 95 Columns 97 through 104 96 97 98 99 100 101 102 103 Columns 105 through 112 104 105 106 107 108 109 110 111 Columns 113 through 120 112 113 114 115 116 117 118 119 Columns 121 through 128 120 121 122 123 124 125 126 127 Columns 129 through 136 128 129 130 131 132 133 134 135 Columns 137 through 144 136 137 138 139 140 141 142 143 Columns 145 through 152 144 145 146 147 148 149 150 151 Columns 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4033 through 4040 4032 4033 4034 4035 4036 4037 4038 4039 Columns 4041 through 4048 4040 4041 4042 4043 4044 4045 4046 4047 Columns 4049 through 4056 4048 4049 4050 4051 4052 4053 4054 4055 Columns 4057 through 4064 4056 4057 4058 4059 4060 4061 4062 4063 Columns 4065 through 4072 4064 4065 4066 4067 4068 4069 4070 4071 Columns 4073 through 4080 4072 4073 4074 4075 4076 4077 4078 4079 Columns 4081 through 4088 4080 4081 4082 4083 4084 4085 4086 4087 Columns 4089 through 4096 4088 4089 4090 4091 4092 4093 4094 4095 Column 4097 4096 edges(1:10) ans = 0 1 2 3 4 5 6 7 8 9 help histc HISTC Histogram count. N = HISTC(X,EDGES), for vector X, counts the number of values in X that fall between the elements in the EDGES vector (which must contain monotonically non-decreasing values). N is a LENGTH(EDGES) vector containing these counts. N(k) will count the value X(i) if EDGES(k) <= X(i) < EDGES(k+1). The last bin will count any values of X that match EDGES(end). Values outside the values in EDGES are not counted. Use -inf and inf in EDGES to include all non-NaN values. For matrices, HISTC(X,EDGES) is a matrix of column histogram counts. For N-D arrays, HISTC(X,EDGES) operates along the first non-singleton dimension. HISTC(X,EDGES,DIM) operates along the dimension DIM. [N,BIN] = HISTC(X,EDGES,...) also returns an index matrix BIN. If X is a vector, N(K) = SUM(BIN==K). BIN is zero for out of range values. If X is an m-by-n matrix, then, for j=1:n, N(K,j) = SUM(BIN(:,j)==K); end Use BAR(EDGES,N,'histc') to plot the histogram. Example: histc(pascal(3),1:6) produces the array [3 1 1; 0 1 0; 0 1 1; 0 0 0; 0 0 0; 0 0 1] Class support for inputs X,EDGES: float: double, single See also hist. Reference page in Help browser doc histc man reshape ??? Undefined command/function 'man'. help reshape RESHAPE Change size. RESHAPE(X,M,N) returns the M-by-N matrix whose elements are taken columnwise from X. An error results if X does not have M*N elements. RESHAPE(X,M,N,P,...) returns an N-D array with the same elements as X but reshaped to have the size M-by-N-by-P-by-... M*N*P*... must be the same as PROD(SIZE(X)). RESHAPE(X,[M N P ...]) is the same thing. RESHAPE(X,...,[],...) calculates the length of the dimension represented by [], such that the product of the dimensions equals PROD(SIZE(X)). PROD(SIZE(X)) must be evenly divisible by the product of the known dimensions. You can use only one occurrence of []. In general, RESHAPE(X,SIZ) returns an N-D array with the same elements as X but reshaped to the size SIZ. PROD(SIZ) must be the same as PROD(SIZE(X)). See also squeeze, shiftdim, colon. Overloaded functions or methods (ones with the same name in other directories) help zpk/reshape.m help tf/reshape.m help ss/reshape.m help frd/reshape.m Reference page in Help browser doc reshape help histc HISTC Histogram count. N = HISTC(X,EDGES), for vector X, counts the number of values in X that fall between the elements in the EDGES vector (which must contain monotonically non-decreasing values). N is a LENGTH(EDGES) vector containing these counts. N(k) will count the value X(i) if EDGES(k) <= X(i) < EDGES(k+1). The last bin will count any values of X that match EDGES(end). Values outside the values in EDGES are not counted. Use -inf and inf in EDGES to include all non-NaN values. For matrices, HISTC(X,EDGES) is a matrix of column histogram counts. For N-D arrays, HISTC(X,EDGES) operates along the first non-singleton dimension. HISTC(X,EDGES,DIM) operates along the dimension DIM. [N,BIN] = HISTC(X,EDGES,...) also returns an index matrix BIN. If X is a vector, N(K) = SUM(BIN==K). BIN is zero for out of range values. If X is an m-by-n matrix, then, for j=1:n, N(K,j) = SUM(BIN(:,j)==K); end Use BAR(EDGES,N,'histc') to plot the histogram. Example: histc(pascal(3),1:6) produces the array [3 1 1; 0 1 0; 0 1 1; 0 0 0; 0 0 0; 0 0 1] Class support for inputs X,EDGES: float: double, single See also hist. Reference page in Help browser doc histc [N0,bin0] = histc(CI(ind),edges); N0 N0 = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 63 1106 446 1 0 0 0 0 0 0 0 0 0 0 0 0 35 2101 2258 25 0 0 0 0 0 0 0 0 0 0 0 0 0 134 637 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 figure, stem(N0); [N1,bin1] = histc(CI(ind0),edges); hold; Current plot held stem(N1,'r'); figure, stem(N0/sum(N0)); hold; stem(N1/sum(N1),'r'); Current plot held ind-ci = find(CI>1500); ??? ind-ci = find(CI>1500); | Error: The expression to the left of the equals sign is not a valid target for an assignment. indci = find(CI>1500); Ic = I; indci0 = find(CI<1500); Ic(indci0) = 0; Ic(indci0+240*320) = 0; Ic(indci0+2*240*320) = 0; figure, imshow(Ic); indci1 = find(CI<1200); Ic1 = I; Ic1(indci1) = 0; Ic1(indci1+2*240*320) = 0; Ic1(indci1+240*320) = 0; figure, imshow(Ic1); indci2 = find(CI<1000); Ic2 = I; Ic2(indci2) = 0; Ic2(indci2+2*240*320) = 0; Ic2(indci2+240*320) = 0; figure, imshow(Ic2); ls ASL-1.jpg ASL-C.jpg ASL-O.jpg diary out17.jpg out26.jpg ASL-2.jpg ASL-D.jpg ASL-P.jpg oct-13-05.txt out18.jpg out27.jpg ASL-3.jpg ASL-F.jpg ASL-Q.jpg out1.jpg out19.jpg out28.jpg ASL-4.jpg ASL-G.jpg ASL-R.jpg out10.jpg out2.jpg out3.jpg ASL-5.jpg ASL-H.jpg ASL-U.jpg out11.jpg out20.jpg out4.jpg ASL-6.jpg ASL-I.jpg ASL-V.jpg out12.jpg out21.jpg out5.jpg ASL-7.jpg ASL-K.jpg ASL-W.jpg out13.jpg out22.jpg out6.jpg ASL-8.jpg ASL-L.jpg ASL-Y.jpg out14.jpg out23.jpg out7.jpg ASL-9.jpg ASL-M.jpg Oct-27-05.txt out15.jpg out24.jpg out8.jpg ASL-A.jpg ASL-N.jpg Oct-3-06.txt out16.jpg out25.jpg out9.jpg Inew = imread('ASL-Q.jpg'); figure, imshow(Inew); Ir = Inew(:,:,1); Ig = uint16(Inew(:,:,2)); Ir = uint16(Inew(:,:,1)); Ib = uint16(Inew(:,:,3)); CI0 = bitshift(bitshift(Ir,-4),8) + bitshift(bitshift(Ig,-4),4) + bitshift(Ib,-4); ind0 = find(CI0 < 1000); Icnew = Inew; Icnew(ind0) = 0; Icnew(ind0+24*320) = 0; Icnew = Inew; Icnew(ind0) = 0; Icnew(ind0+240*320) = 0; Icnew(ind0+240*320*2) = 0; figure, imshow(Icnew); ind0 = find(CI0 < 1200); Icnew(ind0) = 0; Icnew(ind0+240*320*2) = 0; Icnew(ind0+240*320) = 0; figure, imshow(Icnew); ind1 = find(CI > 0); [N1,bin1] = histc(CI(ind1),edges); ind0 = find(CI0 > 0); [N0,bin0] = histc(CI0(ind0),edges); figure, stem(N0); ind0 = find(CI0 > 1200); [N0,bin0] = histc(CI0(ind0),edges); ind0 = find(CI0 < 1200); [N0,bin0] = histc(CI0(ind0),edges); ind1 = find(CI0 >= 1200); [N1,bin1] = histc(CI0(ind1),edges); figure, stem(N0/sum(N0)); hold; stem(N1/sum(N1),'r'); Current plot held ind0 = find(CI0 < 1500); Icnew = Inew; Icnew(ind0) = 0; Icnew(ind0+240*320*2) = 0; Icnew(ind0+240*320) = 0; figure, imshow(Icnew); help rgb2hsv RGB2HSV Convert red-green-blue colors to hue-saturation-value. H = RGB2HSV(M) converts an RGB color map to an HSV color map. Each map is a matrix with any number of rows, exactly three columns, and elements in the interval 0 to 1. The columns of the input matrix, M, represent intensity of red, blue and green, respectively. The columns of the resulting output matrix, H, represent hue, saturation and color value, respectively. HSV = RGB2HSV(RGB) converts the RGB image RGB (3-D array) to the equivalent HSV image HSV (3-D array). CLASS SUPPORT ------------- If the input is an RGB image, it can be of class uint8, uint16, or double; the output image is of class double. If the input is a colormap, the input and output colormaps are both of class double. See also hsv2rgb, colormap, rgbplot. Reference page in Help browser doc rgb2hsv Inew = rgb2hsv(I); whos Inew Name Size Bytes Class Inew 240x320x3 1843200 double array Grand total is 230400 elements using 1843200 bytes max(Inew(:,:,2)) ans = Columns 1 through 9 0.8750 0.7982 0.8350 0.8000 0.8529 0.8318 0.8485 0.8317 0.7879 Columns 10 through 18 0.8230 0.8247 0.8087 0.7830 0.8103 0.8750 0.8350 0.8265 0.8396 Columns 19 through 27 0.8349 0.7905 0.8246 0.8037 0.7934 0.7843 0.8155 0.7941 0.7593 Columns 28 through 36 0.8037 0.7925 0.7719 0.8182 0.8083 0.8393 0.7957 0.8230 0.8125 Columns 37 through 45 0.8265 0.8056 0.8214 0.8241 0.7576 0.8151 0.7797 0.7750 0.8165 Columns 46 through 54 0.8198 0.8208 0.8529 0.8526 0.7624 0.7798 0.7812 0.7850 0.7400 Columns 55 through 63 0.7788 0.7925 0.7925 0.7925 0.7900 0.8557 0.7876 0.8053 0.7895 Columns 64 through 72 0.8365 0.8120 0.7938 0.8000 0.8037 0.8091 0.7807 0.7895 0.7798 Columns 73 through 81 0.8061 0.8584 0.8148 0.8544 0.8091 0.7810 0.8586 0.8148 0.7778 Columns 82 through 90 0.7797 0.8039 0.7686 0.7742 0.7909 0.8182 0.7982 0.7712 0.7699 Columns 91 through 99 0.7798 0.8077 0.7850 0.8269 0.7921 0.7757 0.7547 0.7568 0.7723 Columns 100 through 108 0.7739 0.7766 0.8462 0.8000 0.8000 0.7886 0.7805 0.7812 0.7563 Columns 109 through 117 0.7727 0.7863 0.7699 0.7699 0.8018 0.8065 0.7767 0.7961 0.8056 Columns 118 through 126 0.8158 0.8351 0.8298 0.7895 0.8000 0.7909 0.7909 0.8000 0.7658 Columns 127 through 135 0.8113 0.7959 0.8246 0.8333 0.8095 0.7732 0.7838 0.8142 0.8214 Columns 136 through 144 0.8077 0.7885 0.7830 0.8061 0.8105 0.7670 0.7670 0.7624 0.7739 Columns 145 through 153 0.8053 0.8273 0.7818 0.7818 0.7949 0.7759 0.7705 0.7807 0.7778 Columns 154 through 162 0.8053 0.7917 0.8000 0.8018 0.8241 0.8283 0.8108 0.7802 0.7778 Columns 163 through 171 0.7547 0.7647 0.7961 0.7944 0.8020 0.7658 0.8058 0.7944 0.7525 Columns 172 through 180 0.7500 0.7568 0.7723 0.8087 0.7778 0.7822 0.8061 0.7455 0.7664 Columns 181 through 189 0.7739 0.7542 0.7672 0.7257 0.8660 0.7692 0.7479 0.7909 0.7458 Columns 190 through 198 0.8053 0.8148 0.8621 0.7798 0.8200 0.7440 0.7500 0.8142 0.8155 Columns 199 through 207 0.7519 0.7520 0.7440 0.7724 0.7440 0.7398 0.7788 0.7561 0.7583 Columns 208 through 216 0.7815 0.7778 0.7982 0.7941 0.8070 0.8727 0.8257 0.7524 0.7797 Columns 217 through 225 0.8051 0.7963 0.7941 0.7851 0.7944 0.7967 0.8095 0.7778 0.7921 Columns 226 through 234 0.8053 0.7757 0.7826 0.7719 0.7876 0.7881 0.7885 0.7761 0.8220 Columns 235 through 243 0.7959 0.7570 0.7679 0.7750 0.7634 0.7561 0.8505 0.7857 0.8125 Columns 244 through 252 0.7627 0.7982 0.7778 0.8351 0.8476 0.7593 0.8119 0.8155 0.7870 Columns 253 through 261 0.8000 0.7863 0.7931 0.8190 0.7934 0.7890 0.7863 0.8200 0.7750 Columns 262 through 270 0.7636 0.8319 0.8095 0.7863 0.7981 0.7387 0.7870 0.7538 0.8288 Columns 271 through 279 0.7778 0.7807 0.8224 0.8087 0.7881 0.7845 0.7925 0.7963 0.8252 Columns 280 through 288 0.7934 0.7833 0.7788 0.7619 0.8462 0.8600 0.7818 0.7719 0.8229 Columns 289 through 297 0.8165 0.8244 0.8033 0.8288 0.7917 0.8364 0.8609 0.7920 0.8051 Columns 298 through 306 0.8763 0.8318 0.8381 0.8598 0.8679 0.8077 0.8261 0.8000 0.8407 Columns 307 through 315 0.8000 0.8208 0.8364 0.8515 0.8018 0.8454 0.7982 0.9560 0.8241 Columns 316 through 320 0.8962 0.8900 0.8932 0.8846 0.8350 graythresh(Inew(:,:,2)) ans = 0.4118 Inew_bw = im2bw(Inew(:,:,2), graythresh(Inew(:,:,2))); figure, imshow(Inew_bw); I1 = imread('ASL-Q.jpg'); Inew1 = rgb2hsv(I1); Inew_bw1 = im2bw(Inew1(:,:,2), graythresh(Inew1(:,:,2))); figure, imshow(Inew_bw1); figure, imhist(Inew1(:,:,2)); figure, imhist(Inew1(:,:,1)); Inew_bw1 = im2bw(Inew1(:,:,1), graythresh(Inew1(:,:,1))); figure, imshow(Inew_bw1); I = imread('ASL-1.jpg'); I = double(I); Irc = I(:,:,1) ./ (I(:,:,1) + I(:,:,2) + I(:,:,3)); Igc = I(:,:,2) ./ (I(:,:,1) + I(:,:,2) + I(:,:,3)); max(max(Irc)) ans = 0.3858 max(max(Igc)) ans = 0.3761 h = zeros(40); for i=1:240, for j = 1:320, rc = uint8(Irc(i,j) * 100); gc = uint8(Igc(i,j) * 100); h(rc+1,gc+1) = h(rc+1,gc+1); end; end; figure, mesh(h); for i=1:240, for j = 1:320, rc = uint8(Irc(i,j) * 100); gc = uint8(Igc(i,j) * 100); h(rc+1,gc+1) = h(rc+1,gc+1)+1; end; end; figure, mesh(h); figure, mesh(h); figure, plot(h(30,:)) figure, plot(h(20,:)) figure, plot(h(:,20)) figure, plot(h(:,30)) figure, plot(h(:,25)) figure, plot(h(:,35)) figure, plot(h(35,:)) figure, plot(h(25,:)) figure, plot(h(:,25)) hold; Current plot held plot(h(:,30),'g') plot(h(:,35),'c') ind0 = find(Irc < 0.25); figure, imshow(I); figure, imshow(uint8(I)); I =imread('ASL-1.jpg'); Ic = I; Ic(ind0) = 0; Ic(ind0+24*320) = 0; Ic = I; Ic(ind0) = 0; Ic(ind0+240*320) = 0; Ic(ind0+240*320*2) = 0; figure, imshow(Ic); I =imread('ASL-Q.jpg'); Irc = I(:,:,1) ./ (I(:,:,1) + I(:,:,2) + I(:,:,3)); ind0 = find(Irc < 0.25); Ic = I; Ic(ind0) = 0; Ic(ind0+240*320*2) = 0; Ic(ind0+240*320) = 0; figure, imshow(Ic); I =imread('ASL-Q.jpg'); I0 = double(I0); ??? Undefined function or variable "I0". I0 = double(I); Irc = I0(:,:,1) ./ (I0(:,:,1) + I0(:,:,2) + I0(:,:,3)); ind0 = find(Irc < 0.25); Ic(ind0+240*320) = 0; Ic = I; Ic(ind0) = 0; Ic(ind0+240*320*2) = 0; Ic(ind0+240*320) = 0; figure, imshow(Ic); diary