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Global contrast based salient region detectionをベースにいろいろいじったり
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# (WIP)画像から主題っぽい領域を判定" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 467, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"The Cython extension is already loaded. To reload it, use:\n", | |
" %reload_ext Cython\n" | |
] | |
} | |
], | |
"source": [ | |
"%matplotlib inline\n", | |
"%load_ext Cython\n", | |
"\n", | |
"\"\"\"\n", | |
"Global contrast based salient region detection\n", | |
"http://mmcheng.net/salobj/\n", | |
"\"\"\"\n", | |
"import matplotlib.pyplot as plt\n", | |
"import numpy as np\n", | |
"from collections import defaultdict\n", | |
"from skimage import data\n", | |
"from skimage.color import deltaE_cie76\n", | |
"from skimage.exposure import histogram\n", | |
"from skimage.color import rgb2lab, lab2rgb\n", | |
"from skimage.util import img_as_float\n", | |
"from skimage.segmentation import slic, felzenszwalb, quickshift\n", | |
"from skimage.segmentation import mark_boundaries, find_boundaries\n", | |
"from skimage.io import imread\n", | |
"from skimage.filters import gaussian_filter\n", | |
"\n", | |
"def label_to_regions(labels):\n", | |
" region_dict = defaultdict(list)\n", | |
" height, width = labels.shape\n", | |
" regions = -np.ones(labels.shape).astype(np.int64)\n", | |
" lable_to_region(width, height, labels, regions)\n", | |
" for y in range(height):\n", | |
" for x in range(width):\n", | |
" region_dict[labels[y, x]].append((y, x))\n", | |
" return region_dict, labels\n", | |
"\n", | |
"def calc_region_histgram(regions):\n", | |
" ret = {}\n", | |
" for k, v in regions.items():\n", | |
" pdf = np.zeros(1728)\n", | |
" for pixel in v:\n", | |
" pdf[color_idx[pixel]]+=1\n", | |
" ret[k] = pdf/pdf.sum()\n", | |
" return ret" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 504, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"%%cython\n", | |
"import numpy as np\n", | |
"cimport numpy as np\n", | |
"cimport cython\n", | |
"\n", | |
"@cython.boundscheck(False) \n", | |
"@cython.wraparound(False)\n", | |
"def calc_region_distance(np.ndarray[np.float64_t, ndim=1] histA, \n", | |
" np.ndarray[np.float64_t, ndim=1] histB, np.ndarray[np.float64_t, ndim=2] color_dist_mat):\n", | |
" cdef double ret = 0.0\n", | |
" cdef int i, j\n", | |
" for i in range(1728):\n", | |
" for j in range(i + 1, 1728):\n", | |
" ret += histA[i] * histB[j] * color_dist_mat[i, j] \n", | |
" return ret\n", | |
"\n", | |
"cdef int check_boundary(int x, int y, int width, int height):\n", | |
" if x < 0 or y < 0:\n", | |
" return 0\n", | |
" elif x >= width or y >= height:\n", | |
" return 0\n", | |
" else:\n", | |
" return 1\n", | |
"\n", | |
"@cython.boundscheck(False) \n", | |
"@cython.wraparound(False)\n", | |
"cdef int check_same_label(int x, int y, int width, int height, int label, np.ndarray[np.int64_t, ndim=2] labeled):\n", | |
" if check_boundary(x, y, width, height) == 0:\n", | |
" return 0\n", | |
" if label == labeled[y, x]:\n", | |
" return 1\n", | |
" return 0\n", | |
"\n", | |
"@cython.boundscheck(False) \n", | |
"@cython.wraparound(False)\n", | |
"cdef void replace_region_id(int x, int y, int width, int height, int region_id, int to_region_id, np.ndarray[np.int64_t, ndim=2] regions):\n", | |
" if check_boundary(x, y, width, height) == 0:\n", | |
" return \n", | |
" if regions[y, x] == region_id:\n", | |
" regions[y, x] = to_region_id\n", | |
" replace_region_id(x, y - 1, width, height, region_id, to_region_id, regions)\n", | |
" replace_region_id(x - 1, y, width, height, region_id, to_region_id, regions)\n", | |
" replace_region_id(x - 1, y - 1, width, height, region_id, to_region_id, regions)\n", | |
" replace_region_id(x + 1, y - 1, width, height, region_id, to_region_id, regions)\n", | |
"\n", | |
"@cython.boundscheck(False) \n", | |
"@cython.wraparound(False)\n", | |
"def lable_to_region(int width, int height, np.ndarray[np.int64_t, ndim=2] labeled, np.ndarray[np.int64_t, ndim=2] regions):\n", | |
" \"\"\"\n", | |
" クラスタリングしてlabelをつけた画像から、隣接する同一ラベルのpixelを一つのregionにまとめる。\n", | |
" 同一labelでも隣接していなければ異なる領域とする -> scikits.imageのslic実装が非隣接領域も同じラベルを貼るため\n", | |
" regionsは、labeldと同じshapeで、-1で初期化されていること\n", | |
" なんかまだバグってる\n", | |
" \"\"\"\n", | |
" regions[0, 0] = 0 #左上のregion_idを0に初期化\n", | |
" cdef int x, y\n", | |
" cdef int label\n", | |
" cdef int region_id = 0\n", | |
" for y in range(height):\n", | |
" for x in range(width):\n", | |
" if x == 0 and y == 0: # 左上ぶっ飛ばす\n", | |
" continue\n", | |
" label = labeled[y, x]\n", | |
" if check_same_label(x - 1, y, width, height, label, labeled) == 1:\n", | |
" # 対象pixelの左が同じラベルの場合、上と同region_idを割り振り\n", | |
" regions[y, x] = regions[y, x - 1]\n", | |
"\n", | |
" if check_same_label(x, y - 1, width, height, label, labeled) == 1:\n", | |
" # 対象pixelの上が同じラベル\n", | |
" if regions[y, x] != -1 and regions[y, x] != regions[y - 1, x]:\n", | |
" # 既にregion_id付与済みで左と異なるregion_idの場合は再帰的にregion_idを変更\n", | |
" replace_region_id(x, y - 1, width, height, regions[y - 1, x], regions[y, x], regions)\n", | |
" regions[y, x] = regions[y - 1, x]\n", | |
"\n", | |
" if check_same_label(x - 1, y - 1, width, height, label, labeled) == 1:\n", | |
" # 対象pixelの左上が同じラベル\n", | |
" if regions[y, x] != -1 and regions[y, x] != regions[y - 1, x - 1]:\n", | |
" # 既にregion_id付与済みで左上と異なるregion_idの場合は再帰的にregion_idを変更\n", | |
" replace_region_id(x - 1, y - 1, width, height, regions[y - 1, x - 1], regions[y, x], regions)\n", | |
" regions[y, x] = regions[y - 1, x - 1]\n", | |
" \n", | |
" if check_same_label(x + 1, y - 1, width, height, label, labeled) == 1:\n", | |
" # 対象pixelの右上が同じラベル\n", | |
" if regions[y, x] != -1 and regions[y, x] != regions[y - 1, x + 1]:\n", | |
" # 既にregion_id付与済みで右上と異なるregion_idの場合は再帰的にregion_idを変更\n", | |
" replace_region_id(x + 1, y - 1, width, height, regions[y - 1, x + 1], regions[y, x], regions)\n", | |
" regions[y, x] = regions[y - 1, x + 1]\n", | |
" \n", | |
" if regions[y, x] == -1:\n", | |
" # 既にラベル済みの近接するpixelとラベルが異なる場合は新しいregion_idを採番し割り振る\n", | |
" region_id += 1\n", | |
" regions[y, x] = region_id" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# pre conpute distance matrix for reduced lab color space\n", | |
"colors = []\n", | |
"for r in range(12):\n", | |
" for g in range(12):\n", | |
" for b in range(12):\n", | |
" colors.append( (r*21+10, g*21+10, b*21+10))\n", | |
"base_color = rgb2lab(np.array(colors, dtype=np.uint8).reshape(864,2,3)).reshape(1728,3)\n", | |
"mat = np.zeros((1728,1728))\n", | |
"for i in range(1728):\n", | |
" for j in range(i + 1, 1728):\n", | |
" mat[i, j] = deltaE_cie76(base_color[i], base_color[j])\n", | |
" mat[j, i] = mat[i, j]\n", | |
"np.save(\"color_dist\", mat)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# loading precompute distance matrix\n", | |
"color_dist = np.load(\"color_dist.npy\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### loading a image and reduce colors" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 471, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"img = imread(\"fish.jpg\") # http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/1obj/Bream_In_Basin/Src_Color/index.html\n", | |
"lab_img = rgb2lab(((np.trunc(img/21.4).astype(np.uint8) * 21) + 10).astype(np.uint8))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 472, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"reduced = np.trunc(img/21.4).astype(np.uint8)\n", | |
"shape = reduced.shape\n", | |
"x= reduced.reshape(shape[0]*shape[1], shape[2])\n", | |
"color_idx = np.apply_along_axis(lambda x: x[0]*144+x[1]*12+x[2], 1, x).reshape(shape[:-1])" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": false | |
}, | |
"source": [ | |
"### main procedure" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 501, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"# make subpixels\n", | |
"segment_labels = slic(img_as_float(img), n_segments=100, compactness=20, sigma=2.0)\n", | |
"#segment_labels = felzenszwalb(img, scale=100, sigma=1.0, min_size=20)\n", | |
"#segment_labels = quickshift(img, kernel_size=3, max_dist=6, ratio=0.5)\n", | |
"# subpixels to regions\n", | |
"regions,region_mat = label_to_regions(segment_labels)\n", | |
"region_centroid = dict([(k, np.average(v, axis=0)) for k, v in regions.items() ])\n", | |
"region_histgram = calc_region_histgram(regions)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 502, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"region_scores = {}\n", | |
"cache = {}\n", | |
"pixels = float(img.shape[0]* img.shape[1])\n", | |
"for regA in regions.keys():\n", | |
" score = 0.0\n", | |
" if len(regions[regA]) < 300:\n", | |
" continue\n", | |
" for regB in regions.keys():\n", | |
" if regA == regB:\n", | |
" continue\n", | |
" elif len(regions[regB]) < 300:\n", | |
" continue\n", | |
" else:\n", | |
" dist = np.linalg.norm(region_centroid[regA]/img.shape[:-1] - region_centroid[regB]/img.shape[:-1])\n", | |
" weight = np.exp(-dist/0.4)\n", | |
" d = weight * calc_region_distance(region_histgram[regA], region_histgram[regB], color_dist)* (float(len(regions[regB]))/pixels)\n", | |
" score += d\n", | |
" region_scores[regA] = score" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 500, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x142d0c550>" | |
] | |
}, | |
"execution_count": 500, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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PADcnuSnJAeA+4PSSx7BQST6S5GPd7Y8CR4EXmczrePew48Cprf+GJmw3l9PA/UkOJDkM\n3Aw8vYLxzaUL22WfZ3L+oMH5JQnwCHCmqr4zddcozuF28xvTOZzJsr+7ymT74VdMvunw0Kq/27uA\n+Rxm8l3x54CXLs8JuAZ4EngFeBy4etVj3eN8TgL/Bfwvk+9nfGGnuQBf787lWeBPVz3+Geb3ReD7\nwAvA80wCd7Dh+X0GeLf7eHy2e7tzLOdwm/ndNaZzOMubL9GXpMb5yk5Japwhl6TGGXJJapwhl6TG\nGXJJapwhl6TGGXJJapwhl6TG/T+3xJD3z2vOtQAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x142c448d0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"out_pixels = []\n", | |
"out = np.zeros(img.shape, dtype=np.uint8)\n", | |
"for reg, score in region_scores.items():\n", | |
" if score < 5:\n", | |
" continue\n", | |
" for y,x in regions[reg]:\n", | |
" out_pixels.append([y, x])\n", | |
" out[y, x][0] = 255\n", | |
" out[y, x][1] = 255\n", | |
" out[y, x][2] = 255\n", | |
"plt.imshow(out, vmin=0, vmax=255, interpolation='nearest', aspect='auto')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 487, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x120963e80>" | |
] | |
}, | |
"execution_count": 487, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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HTPzsN3+m+VxGKauH5uEnLmz9+HeiB77hY3zyJx/SfH/wb17bgUMDTBOOfUtd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\n30GGWrxGjsD87T65FkmtkoqlgkTer/gyEaUZLJcDZ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JC9f/9ARBd7v6228zufiL5IRP9K\nRP8vEf2u3X5W3MMe53fW3MOhUOZPulQfGEPufwC4EEAI4B8BXLScY1ii8/o2gHMK224C8Fb7/UoA\nN6z0OCuey08CeAqAf+l3LgCeZO9haO/pfwAQK30OQ5zfXgBvKtl3NZ7fZgA/Yr9PAfh3ABedLfew\nx/mdNfdwmM9yS+RPBfAfzPwdZo4BfBTAJcs8hqVC0ZL8QgC32++3A3jR8g5nODDzVwA8Utjc7Vwu\nAXAHM8fM/B2Yl+SpyzHOYdHl/IDyUL3VeH7HmPkf7fczAL4JYBvOknvY4/yAs+QeDoPlJvJtAB7w\n/j6E7CasZjCAzxPRN4jo1+y2Tcx83H4/DmDTygxtJOh2Llth7qHDar6fv0NE/0RE7/PUDqv6/Ijo\nQpjVx9dxFt5D7/y+ZjeddfewKpabyM9WX8ef4P+/nbtnjSqIwjj+fwpTqAGxiYIBt0ivvbbRlFba\nBW1TWCffIWBno40KNgZDSvETiGB8QTS9CSalVjYnxczijbgh2YS9nOH5wWV371yWeThwltnh3ojr\nwAKwJOlmdzDKGq+J7EfIkjHnY2AAXAN2gNVDrk2RT9J5YA14GBG/umMt1LDme0XJ95sGa3gck27k\nP4DZzudZDv5aphQRO/V1D3hNWbr9lHQJQNJlYLe/GZ7YqCz/1vNKPZdKROxGBTzh79I7ZT5JZyhN\n/HlErNfTzdSwk+/FMF9rNTyuSTfy98CcpKuSpoC7wMaE53CqJJ2VNF3fnwPmgc+UXIv1skVg/f/f\nkMKoLBvAPUlTkgbAHPCuh/mdSG1sQ3co9YOE+VSeP/AU+BoRjzpDTdRwVL6WajiWSe+uUv5++E7Z\ndFjue7f3FPIMKLvim8CXYSbgIvAW2ALeABf6nusR87wEtoE/lP2M+4dlAVZqLb8Bt/qe/xj5HgDP\ngE/AR0qDm0mc7wblwTybwId63G6lhiPyLbRUw3EO36JvZpac7+w0M0vOjdzMLDk3cjOz5NzIzcyS\ncyM3M0vOjdzMLDk3cjOz5NzIzcyS2wccP9h22NmMIQAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1362190b8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.imshow(mark_boundaries(img,region_mat), interpolation='nearest', aspect='auto')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 488, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x122661fd0>" | |
] | |
}, | |
"execution_count": 488, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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HTPzsN3+m+VxGKauH5uEnLmz9+HeiB77hY3zyJx/SfH/wb17bgUMDTBOOfUtd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\n30GGWrxGjsD87T65FkmtkoqlgkTer/gyEaUZLJcDZ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| |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x122561eb8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.imshow(mark_boundaries(img,segment_labels), interpolation='nearest', aspect='auto')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 489, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x142225390>" | |
] | |
}, | |
"execution_count": 489, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x123050710>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.imshow(region_mat, interpolation='nearest', aspect='auto')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 490, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.image.AxesImage at 0x1420305f8>" | |
] | |
}, | |
"execution_count": 490, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x142051278>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.imshow(segment_labels, interpolation='nearest', aspect='auto')" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.4.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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