public List <Bitmap> PickSlices(IReadOnlyList <Bitmap> inputImages, Size sliceSize)
{
var edgeImages = inputImages.Select(grayscaleFilter.Apply).ToList();
edgeImages.ForEach(edgeDetectionFilter.ApplyInPlace);
var edgeDensityHistograms = edgeImages.Select(x => new HorizontalIntensityStatistics(x).Gray).ToList();
var imagesAndHistograms = Enumerable.Range(0, inputImages.Count).Select(index => {
return(new ImagesAndHistogram {
OriginalImage = inputImages[index],
EdgeImage = edgeImages[index],
EdgeDensityHistogram = edgeDensityHistograms[index],
Rating = ratingCalculator.ComputeRating(inputImages[index], edgeDensityHistograms[index], sliceSize.Width, sliceSize.Height)
});
}).OrderBy(x => x.Rating).ToList();
var sliceAspect = sliceSize.Width / (double)sliceSize.Height;
foreach (var imagesAndHistogram in imagesAndHistograms)
{
var desiredWidth = (int)(imagesAndHistogram.OriginalImage.Height * sliceAspect);
if (desiredWidth > imagesAndHistogram.OriginalImage.Width)
{
continue;
}
var range = thumbnailGeneratorUtilities.GetRangeOfWidth(imagesAndHistogram.EdgeDensityHistogram, desiredWidth);
var horizontalCrop = new Crop(new Rectangle(range.Min, 0, range.Max - range.Min, imagesAndHistogram.OriginalImage.Height)).Apply(imagesAndHistogram.OriginalImage);
var horizontalCrop24bpp = horizontalCrop.Clone(new Rectangle(Point.Empty, horizontalCrop.Size), PixelFormat.Format24bppRgb);
imagesAndHistogram.SliceImage = horizontalCrop24bpp;
var resizer = new ResizeBicubic(sliceSize.Width, sliceSize.Height);
imagesAndHistogram.SliceImageResized = resizer.Apply(horizontalCrop24bpp);
}
return(imagesAndHistograms.Where(x => x.SliceImageResized != null).Select(x => x.SliceImageResized).ToList());
}