From 311762c06f6ff3c2c3a70ed7d516f432403e4496 Mon Sep 17 00:00:00 2001 From: Oleg Bakharev Date: Thu, 28 Jun 2018 11:45:00 +0300 Subject: [PATCH] Created projects --- Lenna.png | Bin 0 -> 474172 bytes Lenna_binarizated.png | Bin 0 -> 13321 bytes dub.sdl | 6 +++ dub.selections.json | 6 +++ source/app.d | 114 ++++++++++++++++++++++++++++++++++++++++++ 5 files changed, 126 insertions(+) create mode 100644 Lenna.png create mode 100644 Lenna_binarizated.png create mode 100644 dub.sdl create mode 100644 dub.selections.json create mode 100644 source/app.d diff --git a/Lenna.png b/Lenna.png new file mode 100644 index 0000000000000000000000000000000000000000..0915d92af77f1ee9ab6f5113f06f73eeed22e49b GIT binary patch literal 474172 zcmYJ3XE+;d)W?n3qY_(HBNCDrB}VPXh=_<4u}WKe6}7cheQb%MNyLa%BDS`6saCBj z8e5H)7FC;WI-Wky+xL1uyr0hhoR9Z)o%{T+-#KJQdutIvIYAB%4iOtHn!v%q^+$4X z@c(Z}l(W3|Cve6PtSvb1Ps;E9NdQ6ScIF%$t#^d}@!|QCgZ;1sI}VN;${ZZY=^PwC z|CEw%9T;hhf 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b/dub.selections.json @@ -0,0 +1,6 @@ +{ + "fileVersion": 1, + "versions": { + "dlib": "0.13.0" + } +} diff --git a/source/app.d b/source/app.d new file mode 100644 index 0000000..14b9451 --- /dev/null +++ b/source/app.d @@ -0,0 +1,114 @@ +import std.algorithm; +import std.stdio; + +import dlib.image; + +// создать гистограмму +auto createHistogram(SuperImage superImage) +{ + int[256] histogram; + + foreach (x; 0..superImage.width) + { + foreach (y; 0..superImage.height) + { + int instensity = cast(int) (superImage[x,y].luminance * 255); + histogram[instensity] += 1; + } + } + + return histogram; +} + +// посчитать порог по Оцу +auto calculateOtsuThreshold(SuperImage superImage) +{ + // вычисляем гистограмму + auto histogram = createHistogram(superImage); + + // аккумулятор суммы яркостей + int sumOfLuminances; + + // вычисляем сумму яркостей + foreach (x; 0..superImage.width) + { + foreach (y; 0..superImage.height) + { + sumOfLuminances += cast(int) (superImage[x,y].luminance * 255); + } + } + + // общее количество пикселей + auto allPixelCount = cast(double) (superImage.width * superImage.height); + + // оптимальный порог + int bestThreshold = 0; + // количество полезных пикселей + int firstClassPixelCount = 0; + // суммарная яркость полезных пикселей + int firstClassLuminanceSum = 0; + + // оптимальный разброс яркостей + double bestSigma = 0.0; + + for (int threshold = 0; threshold < 255; threshold++) + { + firstClassPixelCount += histogram[threshold]; + firstClassLuminanceSum += threshold * histogram[threshold]; + + // доля полезных пикселей + double firstClassProbability = firstClassPixelCount / allPixelCount; + // доля фоновых пикселей + double secondClassProbability = 1.0 - firstClassProbability; + + // средняя доля полезных пикселей + double firstClassMean = (firstClassPixelCount == 0) ? 0 : firstClassLuminanceSum / firstClassPixelCount; + // средняя доля фоновых пикселей + double secondClassMean = (sumOfLuminances - firstClassLuminanceSum) / (allPixelCount - firstClassPixelCount); + // величина разброса + double meanDelta = firstClassMean - secondClassMean; + // общий разброс + double sigma = firstClassProbability * secondClassProbability * meanDelta * meanDelta; + + // находим оптимальный разброс + if (sigma > bestSigma) + { + bestSigma = sigma; + bestThreshold = threshold; + } + } + + return bestThreshold; +} + +// бинаризация по Оцу +auto otsuBinarization(SuperImage superImage) +{ + SuperImage newImage = image(superImage.width, superImage.height); + auto threshold = calculateOtsuThreshold(superImage); + + foreach (x; 0..superImage.width) + { + foreach (y; 0..superImage.height) + { + auto luminance = cast(int) (superImage[x,y].luminance * 255); + + if (luminance > threshold) + { + newImage[x, y] = Color4f(1.0f, 1.0f, 1.0f); + } + else + { + newImage[x, y] = Color4f(0.0f, 0.0f, 0.0f); + } + } + } + + return newImage; +} + +void main() +{ + auto img = load("Lenna.png"); + img.otsuBinarization.savePNG("Lenna_binarizated.png"); +} -- 2.45.2