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harunlakodla
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‎README.md

+8-13
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@@ -6,28 +6,28 @@ know whether this package might be useful for them.
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TODO:
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- [ ] Image Reading and Writing:
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- [ ] Read image: `imread()`
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- [ ] Write image: `imwrite()`
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- [X] Read image: `imread()`
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- [X] Write image: `imwrite()`
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- [ ] Image Properties:
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- [ ] Get image size: `size()`
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- [X] Get image size: `size()`
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- [ ] Determine image type: `type()`
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- [ ] Access and modify pixel values on the image: `at()`, `set()`
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- [ ] Color Conversions:
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- [ ] Convert color spaces: `cvtColor()`
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- [X] Convert color spaces: `cvtColor()` for grayscale
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- [ ] Define constants for color space conversions: `COLOR_*`
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- [ ] Filtering and Edge Detection:
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- [ ] Gaussian blur: `GaussianBlur()`
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- [X] Gaussian blur: `GaussianBlur()`
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- [ ] Median blur: `medianBlur()`
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- [ ] Edge detection: `Canny()`
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- [X] Edge detection: `Canny()`
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- [ ] Histogram equalization: `equalizeHist()`
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- [ ] Geometric Transformations:
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- [ ] Perspective transformation: `warpPerspective()`
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- [ ] Scaling: `resize()`
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- [ ] Rotation: `rotate()`
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- [X] Scaling: `resize()`
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- [X] Rotation: `rotate()`
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- [ ] Template Matching:
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- [ ] Template matching operation: `matchTemplate()`
@@ -54,11 +54,6 @@ TODO:
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- [ ] Detect keyboard or mouse interactions: `waitKey()`
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## Getting started
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TODO: List prerequisites and provide or point to information on how to
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start using the package.
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## Usage
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TODO: Include short and useful examples for package users. Add longer examples

‎example/dart_opencv_sdk_example.dart

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@@ -7,12 +7,16 @@ void main() async {
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..decodeWebPFile('test.webp')
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// Resize the image so its width is 120 and height maintains aspect
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// ratio.
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..copyResize(width: 1200)
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..copyResize(width: 240)
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..copyRotate(angle: 5)
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..grayscale()
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// ..grayscale()
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..drawCircle(
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x: 20, y: 50, radius: 50, color: img.ColorFloat16.rgb(255, 0, 0))
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// Save the image to a PNG file.
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..writeToFile('thumbnail_normalize.png'))
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..writeToFile('thumbnail_rotate.png'))
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// Execute the image commands in an isolate thread
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.executeThread();
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}

‎example/thumbnail_rotate.png

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‎lib/src/core/functions.dart

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@@ -1,6 +1,7 @@
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import 'package:image/image.dart';
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class CoreFunctions {
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int getRed(int color) {
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return (color >> 16) & 0xFF;
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}

‎lib/src/edge_detector/canny_edge.dart

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@@ -0,0 +1,179 @@
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import 'package:dart_opencv_sdk/src/filter/grayscale.dart';
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import 'package:image/image.dart';
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import '../core/functions.dart';
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import '../smoothing/guassian.dart';
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import '../filter/filter.dart';
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import 'dart:math';
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class CannyEdgeFilter implements ImageFilter {
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final CoreFunctions coreFunctions;
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final double lowThreshold;
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final double highThreshold;
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final int kernelSize;
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final double sigma;
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CannyEdgeFilter({
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this.lowThreshold = 20,
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this.highThreshold = 50,
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this.kernelSize = 3,
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this.sigma = 1.4,
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}) : coreFunctions = CoreFunctions();
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@override
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Image applyFilter(Image image) {
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final grayscaleImage = GrayscaleFilter().applyFilter(image);
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final blurredImage =
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GaussianBlurFilter(sigma: sigma, radius: kernelSize ~/ 2)
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.applyFilter(grayscaleImage);
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final gradients = calculateGradients(blurredImage);
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final suppressedImage = applyNonMaximaSuppression(blurredImage, gradients);
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final thresholdedImage =
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applyDoubleThreshold(suppressedImage, lowThreshold, highThreshold);
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final edgeImage = applyEdgeTrackingByHysteresis(thresholdedImage);
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return edgeImage;
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}
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List<List<double>> calculateGradients(Image image) {
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final sobelX = [
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[-1, 0, 1],
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[-2, 0, 2],
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[-1, 0, 1],
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];
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final sobelY = [
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[-1, -2, -1],
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[0, 0, 0],
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[1, 2, 1],
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];
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final gradients = [[]] as List<List<double>>;
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for (var x = 0; x < image.width; x++) {
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gradients[x] = [] as List<double>;
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for (var y = 0; y < image.height; y++) {
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gradients[x][y] = 0;
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}
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}
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for (var y = 1; y < image.height - 1; y++) {
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for (var x = 1; x < image.width - 1; x++) {
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var gx = 0.0;
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var gy = 0.0;
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for (var j = -1; j <= 1; j++) {
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for (var i = -1; i <= 1; i++) {
66+
final pixel = image.getPixelSafe(x + i, y + j);
67+
final luminance = pixel.r;
68+
gx += sobelX[i + 1][j + 1] * luminance;
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gy += sobelY[i + 1][j + 1] * luminance;
70+
}
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}
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gradients[x][y] = sqrt(gx * gx + gy * gy);
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}
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}
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return gradients;
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}
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Image applyNonMaximaSuppression(Image image, List<List<double>> gradients) {
81+
final suppressedImage = Image(width: image.width, height: image.height);
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for (var y = 1; y < image.height - 1; y++) {
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for (var x = 1; x < image.width - 1; x++) {
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final pixel = image.getPixel(x, y);
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final pixelValue = pixel.r;
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final angle = atan2(gradients[x][y], gradients[x - 1][y]);
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final direction = (angle * (180 / pi) + 180) % 180;
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final neighbor1 = coreFunctions.getPixelSafer(image, x - 1, y);
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final neighbor2 = coreFunctions.getPixelSafer(image, x + 1, y);
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final neighbor1Value = neighbor1.r;
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final neighbor2Value = neighbor2.r;
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final interpolatedValue = interpolate(pixelValue.toInt(),
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neighbor1Value.toInt(), neighbor2Value.toInt(), direction);
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suppressedImage.setPixel(x, y,
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getColor(interpolatedValue, interpolatedValue, interpolatedValue));
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}
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}
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return suppressedImage;
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}
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int interpolate(int center, int neighbor1, int neighbor2, double direction) {
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final weight = direction % 45 / 45;
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final interpolatedValue =
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((1 - weight) * neighbor1 + weight * neighbor2).round();
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if (center >= interpolatedValue) {
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return center;
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} else {
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return 0;
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}
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}
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Image applyDoubleThreshold(
120+
Image image, double lowThreshold, double highThreshold) {
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final thresholdedImage = Image(width: image.width, height: image.height);
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for (var y = 0; y < image.height; y++) {
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for (var x = 0; x < image.width; x++) {
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final pixel = image.getPixel(x, y);
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final pixelValue = pixel.r;
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128+
if (pixelValue >= highThreshold) {
129+
thresholdedImage.setPixel(x, y, getColor(255, 255, 255));
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} else if (pixelValue >= lowThreshold) {
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thresholdedImage.setPixel(x, y, getColor(128, 128, 128));
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} else {
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thresholdedImage.setPixel(x, y, getColor(0, 0, 0));
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}
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}
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}
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return thresholdedImage;
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}
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Image applyEdgeTrackingByHysteresis(Image image) {
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final edgeImage = Image(width: image.width, height: image.height);
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for (var y = 1; y < image.height - 1; y++) {
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for (var x = 1; x < image.width - 1; x++) {
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final pixel = image.getPixel(x, y);
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final pixelValue = pixel.r;
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if (pixelValue == 128) {
150+
final neighbor1 = coreFunctions.getPixelSafer(image, x - 1, y);
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final neighbor2 = coreFunctions.getPixelSafer(image, x + 1, y);
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final neighbor3 = coreFunctions.getPixelSafer(image, x, y - 1);
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final neighbor4 = coreFunctions.getPixelSafer(image, x, y + 1);
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final neighbor1Value = neighbor1.r;
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final neighbor2Value = neighbor2.r;
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final neighbor3Value = neighbor3.r;
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final neighbor4Value = neighbor4.r;
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if (neighbor1Value == 255 ||
161+
neighbor2Value == 255 ||
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neighbor3Value == 255 ||
163+
neighbor4Value == 255) {
164+
edgeImage.setPixel(x, y, getColor(255, 255, 255));
165+
} else {
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edgeImage.setPixel(x, y, getColor(0, 0, 0));
167+
}
168+
} else {
169+
edgeImage.setPixel(x, y, getColor(0, 0, 0));
170+
}
171+
}
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}
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return edgeImage;
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}
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@override
178+
dynamic noSuchMethod(Invocation invocation) => super.noSuchMethod(invocation);
179+
}

‎lib/src/edge_detector/edge_detector.dart

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import 'package:dart_opencv_sdk/src/core/functions.dart';
2+
import 'package:image/image.dart';
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abstract class EdgeDetectorFilter implements Image, CoreFunctions {
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Image applyFilter(Image image);
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}

‎lib/src/filter/laplace.dart renamed to ‎lib/src/edge_detector/laplace.dart

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import 'package:image/image.dart';
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3-
import 'filter.dart';
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import '../core/functions.dart';
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import '../filter/filter.dart';
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// https://docs.opencv.org/3.4/d5/db5/tutorial_laplace_operator.html
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class LaplaceFilter extends ImageFilter {
8+
final CoreFunctions coreFunctions;
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final List<List<int>> laplaceKernel = [
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[0, 1, 0],
1011
[1, -4, 1],
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[0, 1, 0]
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];
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15+
LaplaceFilter() : coreFunctions = CoreFunctions();
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@override
1518
Image applyFilter(Image image) {
1619
final filteredImage = Image(width: image.width, height: image.height);
@@ -21,7 +24,7 @@ class LaplaceFilter extends ImageFilter {
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final filteredPixel = sum.clamp(0, 255).toInt();
2326
final filteredColor =
24-
getColor(filteredPixel, filteredPixel, filteredPixel);
27+
ColorFloat64.rgb(filteredPixel, filteredPixel, filteredPixel);
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filteredImage.setPixel(x, y, filteredColor);
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}
2730
}
@@ -34,7 +37,7 @@ class LaplaceFilter extends ImageFilter {
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3538
for (var ky = -1; ky <= 1; ky++) {
3639
for (var kx = -1; kx <= 1; kx++) {
37-
final pixel = getPixelSafer(image, x + kx, y + ky);
40+
final pixel = coreFunctions.getPixelSafer(image, x + kx, y + ky);
3841
final kernelValue = laplaceKernel[ky + 1][kx + 1];
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final r = pixel.r;
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final g = pixel.g;

‎lib/src/filter/filter.dart

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import 'package:dart_opencv_sdk/src/core/functions.dart';
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import 'package:image/image.dart';
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4-
abstract class ImageFilter implements Image, CoreFunctions {
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abstract class ImageFilter implements Image {
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Image applyFilter(Image image);
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}

‎lib/src/filter/grayscale.dart

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import 'package:image/image.dart';
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import 'package:image/src/filter/grayscale.dart';
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import '../core/functions.dart';
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import 'filter.dart';
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class GrayscaleFilter implements ImageFilter {
8+
final CoreFunctions coreFunctions;
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10+
GrayscaleFilter() : coreFunctions = CoreFunctions();
11+
// @override
12+
// Image applyFilter(Image image) {
13+
// final grayscaleImage = Image(width: image.width, height: image.height);
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// for (var y = 0; y < image.height; y++) {
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// for (var x = 0; x < image.width; x++) {
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// final pixel = image.getPixel(x, y);
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// final r = pixel.r;
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// final g = pixel.g;
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// final b = pixel.b;
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// final luminance = ((0.299 * r) + (0.587 * g) + (0.114 * b)).toInt();
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// grayscaleImage.setPixel(
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// x, y, getColor(luminance, luminance, luminance));
24+
// }
25+
// }
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// return grayscaleImage;
28+
// }
29+
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@override
31+
Image applyFilter(Image image) {
32+
Image grayscaleImage = Image(width: image.width, height: image.height);
33+
grayscaleImage = grayscale(image);
34+
return grayscaleImage;
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}
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@override
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dynamic noSuchMethod(Invocation invocation) => super.noSuchMethod(invocation);
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}

‎lib/src/smoothing/averaging.dart

Whitespace-only changes.

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