|
| 1 | +Hist_new_item = class |
| 2 | + Menupullright "_New" "new histogram" { |
| 3 | + Hist_item = class |
| 4 | + Menuaction "_Identity" "make an identity histogram" { |
| 5 | + action = class |
| 6 | + _result { |
| 7 | + _vislevel = 3; |
| 8 | + |
| 9 | + d = Option "Depth" ["8 bit", "16 bit"] 0; |
| 10 | + _result = Plot [] ([im_identity 1, im_identity_ushort 1 65536]?d); |
| 11 | + } |
| 12 | + } |
| 13 | + |
| 14 | + Hist_new_from_matrix = Matrix_buildlut_item; |
| 15 | + |
| 16 | + Hist_from_image_item = class |
| 17 | + Menuaction "Ta_g Image As Histogram" "set image Type to Histogram" { |
| 18 | + action x = hist_tag x; |
| 19 | + } |
| 20 | + |
| 21 | + Tone_item = class |
| 22 | + Menuaction "_Tone Curve" "make a new tone mapping curve" { |
| 23 | + action = class |
| 24 | + _result { |
| 25 | + _vislevel = 3; |
| 26 | + |
| 27 | + d = Option "Depth" ["8 bit", "16 bit"] 0; |
| 28 | + b = Scale "Black point" 0 100 0; |
| 29 | + w = Scale "White point" 0 100 100; |
| 30 | + |
| 31 | + sp = Scale "Shadow point" 0.1 0.3 0.2; |
| 32 | + mp = Scale "Mid-tone point" 0.4 0.6 0.5; |
| 33 | + hp = Scale "Highlight point" 0.7 0.9 0.8; |
| 34 | + |
| 35 | + sa = Scale "Shadow adjust" (-15) 15 0; |
| 36 | + ma = Scale "Mid-tone adjust" (-30) 30 0; |
| 37 | + ha = Scale "Highlight adjust" (-15) 15 0; |
| 38 | + |
| 39 | + _result |
| 40 | + = tone_build fmt b w sp mp hp sa ma ha |
| 41 | + { |
| 42 | + fmt = [Image_format.UCHAR, Image_format.USHORT]?d; |
| 43 | + } |
| 44 | + } |
| 45 | + } |
| 46 | +} |
| 47 | + |
| 48 | +Hist_convert_to_hist_item = class |
| 49 | + Menuaction "Con_vert to Histogram" "convert anything to a histogram" { |
| 50 | + action x = hist_tag (to_image x); |
| 51 | +} |
| 52 | + |
| 53 | +Hist_find_item = class |
| 54 | + Menupullright "_Find" "find a histogram" { |
| 55 | + Oned_item = class |
| 56 | + Menuaction "_One Dimension" |
| 57 | + "for a n-band image, make an n-band 1D histogram" { |
| 58 | + action x = map_unary hist_find x; |
| 59 | + } |
| 60 | + |
| 61 | + Nd_item = class |
| 62 | + Menuaction "_Many Dimensions" |
| 63 | + "for a n-band image, make an n-dimensional histogram" { |
| 64 | + action x = class |
| 65 | + _result { |
| 66 | + _vislevel = 3; |
| 67 | + |
| 68 | + // default to something small-ish |
| 69 | + bins = Expression "Number of bins in each dimension" 8; |
| 70 | + |
| 71 | + _result |
| 72 | + = map_unary process x |
| 73 | + { |
| 74 | + process in |
| 75 | + = hist_find_nD bins in; |
| 76 | + } |
| 77 | + } |
| 78 | + } |
| 79 | + |
| 80 | + Indexed_item = class |
| 81 | + Menuaction "_Indexed" |
| 82 | + "use a 1-band index image to pick bins for an n-band image" { |
| 83 | + action x y |
| 84 | + = map_binary map x y |
| 85 | + { |
| 86 | + map a b |
| 87 | + = hist_find_indexed index im |
| 88 | + { |
| 89 | + [im, index] = sortc (const is_index) [a, b]; |
| 90 | + |
| 91 | + is_index x |
| 92 | + = has_image x && b == 1 && |
| 93 | + (f == Image_format.UCHAR || f == Image_format.USHORT) |
| 94 | + { |
| 95 | + im = get_image x; |
| 96 | + b = get_bands x; |
| 97 | + f = get_format x; |
| 98 | + } |
| 99 | + } |
| 100 | + } |
| 101 | + } |
| 102 | +} |
| 103 | + |
| 104 | +Hist_map_item = class |
| 105 | + Menuaction "_Map" "map an image through a histogram" { |
| 106 | + action x y |
| 107 | + = map_binary map x y |
| 108 | + { |
| 109 | + map a b |
| 110 | + = hist_map hist im |
| 111 | + { |
| 112 | + [im, hist] = sortc (const is_hist) [a, b]; |
| 113 | + } |
| 114 | + } |
| 115 | +} |
| 116 | + |
| 117 | +Hist_eq_item = Filter_enhance_item.Hist_equal_item; |
| 118 | + |
| 119 | +#separator |
| 120 | + |
| 121 | +Hist_cum_item = class |
| 122 | + Menuaction "_Integrate" |
| 123 | + "form cumulative histogram" { |
| 124 | + action x = map_unary hist_cum x; |
| 125 | +} |
| 126 | + |
| 127 | +Hist_diff_item = class |
| 128 | + Menuaction "_Differentiate" |
| 129 | + "find point-to-point differences (inverse of Integrate)" { |
| 130 | + action x = map_unary hist_diff x; |
| 131 | +} |
| 132 | + |
| 133 | +Hist_norm_item = class |
| 134 | + Menuaction "N_ormalise" "normalise a histogram" { |
| 135 | + action x = map_unary hist_norm x; |
| 136 | +} |
| 137 | + |
| 138 | +Hist_inv_item = class |
| 139 | + Menuaction "In_vert" "invert a histogram" { |
| 140 | + action x = map_unary hist_inv x; |
| 141 | +} |
| 142 | + |
| 143 | +Hist_match_item = class |
| 144 | + Menuaction "Ma_tch" |
| 145 | + "find LUT which will match first histogram to second" { |
| 146 | + action in ref = map_binary hist_match in ref; |
| 147 | +} |
| 148 | + |
| 149 | +Hist_zerox_item = class |
| 150 | + Menuaction "_Zero Crossings" "find zero crossings" { |
| 151 | + action x = class |
| 152 | + _result { |
| 153 | + _vislevel = 3; |
| 154 | + |
| 155 | + edge = Option "Direction" [ |
| 156 | + "Positive-going", |
| 157 | + "Negative-going" |
| 158 | + ] 0; |
| 159 | + |
| 160 | + _result |
| 161 | + = map_unary (zerox (if edge == 0 then -1 else 1)) x; |
| 162 | + } |
| 163 | +} |
| 164 | + |
| 165 | +Hist_entropy_item = class Menuaction "Entropy" "calculate histogram entropy" { |
| 166 | + action x = hist_entropy x; |
| 167 | +} |
| 168 | + |
| 169 | +#separator |
| 170 | + |
| 171 | +Hist_profile_item = class |
| 172 | + Menuaction "Find _Profile" |
| 173 | + "search from image edges for non-zero pixels" { |
| 174 | + action x = class |
| 175 | + _result { |
| 176 | + _vislevel = 3; |
| 177 | + |
| 178 | + edge = Option "Search from" [ |
| 179 | + "Top edge down", |
| 180 | + "Left edge to right", |
| 181 | + "Bottom edge up", |
| 182 | + "Right edge to left" |
| 183 | + ] 2; |
| 184 | + |
| 185 | + _result |
| 186 | + = map_unary profile x |
| 187 | + { |
| 188 | + profile image |
| 189 | + = (Plot_histogram @ hist_tag) [ |
| 190 | + profilemb 0 image.value, |
| 191 | + profilemb 1 image.value, |
| 192 | + profilemb 0 (fliptb image.value), |
| 193 | + profilemb 1 (fliplr image.value) |
| 194 | + ]?edge; |
| 195 | + |
| 196 | + // im_profile only does 1 band images :-( |
| 197 | + profilemb d = bandjoin @ map (converse im_profile d) @ bandsplit; |
| 198 | + } |
| 199 | + } |
| 200 | +} |
| 201 | + |
| 202 | +Hist_project_item = class |
| 203 | + Menuaction "Find Pro_jections" |
| 204 | + "find horizontal and vertical projections" { |
| 205 | + action x = class { |
| 206 | + _vislevel = 2; |
| 207 | + |
| 208 | + _result = map_unary project x; |
| 209 | + |
| 210 | + // extract the result ... could be a group |
| 211 | + extr n |
| 212 | + = Plot_histogram _result?n, is_list _result |
| 213 | + = Group (map (Plot_histogram @ converse subscript n) _result.value); |
| 214 | + |
| 215 | + horizontal = extr 0; |
| 216 | + vertical = extr 1; |
| 217 | + centre = (gravity horizontal, gravity vertical); |
| 218 | + } |
| 219 | +} |
| 220 | + |
| 221 | +#separator |
| 222 | + |
| 223 | +Hist_graph_item = class |
| 224 | + Menuaction "P_lot Slice" "plot a slice along a guide or arrow" { |
| 225 | + action x = class |
| 226 | + _value { |
| 227 | + _vislevel = 3; |
| 228 | + |
| 229 | + width = Scale "Width" 1 40 1; |
| 230 | + displace = Scale "Horizontal displace" (-50) 50 0; |
| 231 | + vdisplace = Scale "Vertical displace" (-50) 50 0; |
| 232 | + |
| 233 | + _value |
| 234 | + = map_unary graph x |
| 235 | + { |
| 236 | + graph arrow |
| 237 | + = hist_tag area' |
| 238 | + { |
| 239 | + area = extract_arrow |
| 240 | + displace.value vdisplace.value width.value arrow; |
| 241 | + |
| 242 | + // squish vertically to get an average |
| 243 | + area' = resize Kernel_linear 1 (1 / width.value) area; |
| 244 | + } |
| 245 | + } |
| 246 | + } |
| 247 | +} |
| 248 | + |
| 249 | +Extract_arrow_item = class |
| 250 | + Menuaction "Extract _Arrow" "extract the area around an arrow" { |
| 251 | + action x = class |
| 252 | + _value { |
| 253 | + _vislevel = 3; |
| 254 | + |
| 255 | + width = Scale "Width" 1 40 1; |
| 256 | + displace = Scale "Horizontal displace" (-50) 50 0; |
| 257 | + vdisplace = Scale "Vertical displace" (-50) 50 0; |
| 258 | + |
| 259 | + _value |
| 260 | + = map_unary (extract_arrow |
| 261 | + displace.value vdisplace.value width.value) x; |
| 262 | + } |
| 263 | +} |
| 264 | + |
| 265 | +Hist_plot_item = class |
| 266 | + Menuaction "Plot _Object" |
| 267 | + "plot an object as a bar, point or line graph" { |
| 268 | + action x = class |
| 269 | + _result { |
| 270 | + _vislevel = 3; |
| 271 | + |
| 272 | + caption = Expression "Chart caption" "none"; |
| 273 | + format = Option_enum "Format" Plot_format.names "YYYY"; |
| 274 | + style = Option_enum "Style" Plot_style.names "Line"; |
| 275 | + |
| 276 | + auto = Toggle "Auto Range" true; |
| 277 | + xmin = Expression "X range minimum" 0; |
| 278 | + xmax = Expression "X range maximum" 1; |
| 279 | + ymin = Expression "Y range minimum" 0; |
| 280 | + ymax = Expression "Y range maximum" 1; |
| 281 | + xcaption = Expression "X axis caption" "none"; |
| 282 | + ycaption = Expression "Y axis caption" "none"; |
| 283 | + series_captions = Expression "Series captions" ["Band 0"]; |
| 284 | + |
| 285 | + _result |
| 286 | + = Plot options (image x) |
| 287 | + { |
| 288 | + options |
| 289 | + = [$style => style.value, $format => format.value] ++ |
| 290 | + range ++ captions; |
| 291 | + range |
| 292 | + = [], auto |
| 293 | + = [$xmin => xmin.expr, $xmax => xmax.expr, |
| 294 | + $ymin => ymin.expr, $ymax => ymax.expr]; |
| 295 | + |
| 296 | + captions |
| 297 | + = concat (map test caption_options) ++ |
| 298 | + [$series_captions => series_captions.expr] |
| 299 | + { |
| 300 | + caption_options = [ |
| 301 | + $caption => caption.expr, |
| 302 | + $xcaption => xcaption.expr, |
| 303 | + $ycaption => ycaption.expr |
| 304 | + ]; |
| 305 | + test x |
| 306 | + = [], value == "none" |
| 307 | + = [option_name => value] |
| 308 | + { |
| 309 | + [option_name, value] = x; |
| 310 | + } |
| 311 | + } |
| 312 | + |
| 313 | + image x |
| 314 | + = image (extract_arrow 0 0 1 x), is_Arrow x |
| 315 | + = get_image x, has_image x |
| 316 | + = x2b im, b == 1 |
| 317 | + = im |
| 318 | + { |
| 319 | + im = get_image (to_image x); |
| 320 | + w = get_width im; |
| 321 | + h = get_height im; |
| 322 | + b = get_bands im; |
| 323 | + |
| 324 | + // matrix to image makes a 1-band mxn image |
| 325 | + // we need to put columns into bands |
| 326 | + x2b im |
| 327 | + = bandjoin (map extract_col [0 .. w - 1]) |
| 328 | + { |
| 329 | + extract_col x = extract_area x 0 1 h im; |
| 330 | + } |
| 331 | + } |
| 332 | + } |
| 333 | + } |
| 334 | +} |
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