Binarize TIFF images via C#
Build your own .NET apps to Binarize TIFF image files using server-side APIs
How to Binarize TIFF Files Using C#
The invention of color film marked a significant milestone in the realm of photography. However, classical photography is inherently linked to black and white imagery. Despite the extensive technical capabilities of cameras to capture the full spectrum of colors, many individuals opt for monochrome, transforming their pictures into black and white. In such instances, a binarization function comes into play, converting all pixels into binary values: "0" for white and "1" for black. In other scenarios, this conversion isn’t driven by artistic choices but practical ones, like preparing black and white illustrations for printing in books or newspapers. Using the C# graphics library, you can designate a pixel brightness threshold. Pixels with brightness values below this threshold will become black, while those above it will become white. Alternatively, you can employ an adaptive binarization method that considers the pixel values in the surrounding area. This approach results in smoother transitions between color boundaries in the resulting black and white image. In order to Binarize TIFF files, we’ll use Aspose.Imaging for .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for C# platform. Open NuGet package manager, search for Aspose.Imaging and install. You may also use the following command from the Package Manager Console.
Package Manager Console Command
PM> Install-Package Aspose.Imaging
Steps to Binarize TIFF via C#
You need the aspose.imaging.dll to try the following workflow in your own environment.
- load TIFF files with Image.Load method;
- binarize image;
- save binarized image to disc in the supported by Aspose.Imaging format.
System Requirements
Aspose.Imaging for .NET is supported on all major operating systems. Just make sure that you have the following prerequisites.
- Microsoft Windows or a compatible OS with .NET Framework, .NET Core, Windows Application, ASP.NET Web Application.
- Development environment like Microsoft Visual Studio.
- Aspose.Imaging for .NET referenced in your project.
Binarize TIFF images - .NET
using Aspose.Imaging; | |
using Aspose.Imaging.FileFormats.Bmp; | |
using Aspose.Imaging.FileFormats.Dicom; | |
using Aspose.Imaging.FileFormats.Emf; | |
using Aspose.Imaging.FileFormats.Jpeg; | |
using Aspose.Imaging.FileFormats.Jpeg2000; | |
using Aspose.Imaging.FileFormats.Png; | |
using Aspose.Imaging.FileFormats.Psd; | |
using Aspose.Imaging.FileFormats.Tiff.Enums; | |
using Aspose.Imaging.ImageFilters.FilterOptions; | |
using Aspose.Imaging.ImageOptions; | |
using Aspose.Imaging.Masking; | |
using Aspose.Imaging.Masking.Options; | |
using Aspose.Imaging.Masking.Result; | |
using Aspose.Imaging.Sources; | |
using System; | |
using System.Collections.Generic; | |
using System.IO; | |
using System.Linq; | |
string templatesFolder = @"c:\Users\USER\Downloads"; | |
BinarizeFixed(); | |
void BinarizeOtsu() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging/rasterimage/methods/binarizeotsu | |
image.BinarizeOtsu(); | |
}, "binarizeotsu"); | |
} | |
void BinarizeBradley() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging/rasterimage/methods/binarizebradley/index | |
image.BinarizeBradley(0.5); | |
}, "binarizebradley"); | |
} | |
void BinarizeFixed() | |
{ | |
FilterImages(image => | |
{ | |
//https://apireference.aspose.com/imaging/net/aspose.imaging/rasterimage/methods/binarizefixed | |
image.BinarizeFixed(70); | |
}, "binarizefixed"); | |
} | |
void FilterImages(Action<RasterImage> doFilter, string filterName) | |
{ | |
List<string> rasterFormats = new List<string>() { "jpg", "png", "bmp", "apng", "dicom", | |
"jp2", "j2k", "tga", "webp", "tif", "gif", "ico" }; | |
List<string> vectorFormats = new List<string>() { "svg", "otg", "odg", "eps", "wmf", "emf", "wmz", "emz", "cmx", "cdr" }; | |
List<string> allFormats = new List<string>(rasterFormats); | |
allFormats.AddRange(vectorFormats); | |
allFormats.ForEach( | |
formatExt => | |
{ | |
var inputFile = Path.Combine(templatesFolder, $"template.{formatExt}"); | |
bool isVectorFormat = vectorFormats.IndexOf(formatExt) > -1; | |
//Need to rasterize vector formats before background remove | |
if (isVectorFormat) | |
{ | |
inputFile = RasterizeVectorImage(formatExt, inputFile); | |
} | |
var outputFile = Path.Combine(templatesFolder, $"{filterName}_{formatExt}.png"); | |
Console.WriteLine($"Processing {formatExt}"); | |
using (var image = (RasterImage)Image.Load(inputFile)) | |
{ | |
doFilter(image); | |
//If image is multipage save each page to png to demonstrate results | |
if (image is IMultipageImage multiPage && multiPage.PageCount > 1) | |
{ | |
for (var pageIndex = 0; pageIndex < multiPage.PageCount; pageIndex++) | |
{ | |
string fileName = $"{filterName}_page{pageIndex}_{formatExt}.png"; | |
multiPage.Pages[pageIndex].Save(templatesFolder + fileName, new PngOptions()); | |
File.Delete(templatesFolder + fileName); | |
} | |
} | |
else | |
{ | |
image.Save(outputFile, new PngOptions()); | |
File.Delete(outputFile); | |
} | |
} | |
//Remove rasterized vector image | |
if (isVectorFormat) | |
{ | |
File.Delete(inputFile); | |
} | |
} | |
); | |
} | |
string RasterizeVectorImage(string formatExt, string inputFile) | |
{ | |
string outputFile = Path.Combine(templatesFolder, $"rasterized.{formatExt}.png"); | |
using (var image = Image.Load(inputFile)) | |
{ | |
image.Save(outputFile, new PngOptions()); | |
} | |
return outputFile; | |
} |
About Aspose.Imaging for .NET API
Aspose.Imaging API is an image processing solution to create, modify, draw or convert images (photos) within applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), modifications such as drawing, working with graphic primitives, transformations (resize, crop, flip&rotate, binarization, grayscale, adjust), advanced image manipulation features (filtering, dithering, masking, deskewing), and memory optimization strategies. It’s a standalone library and does not depend on any software for image operations. One can easily add high-performance image conversion features with native APIs within projects. These are 100% private on-premise APIs and images are processed at your servers.Binarize TIFF via Online App
Binarize TIFF documents by visiting our Live Demos website The live demo has the following benefits
TIFF What is TIFF File Format
TIFF or TIF, Tagged Image File Format, represents raster images that are meant for usage on a variety of devices that comply with this file format standard. It is capable of describing bilevel, grayscale, palette-color and full-color image data in several color spaces. It supports lossy as well as lossless compression schemes to choose between space and time for applications using the format. The format is extensible and has underwent several revisions that allows the inclusion of an unlimited amount of private or special-purpose information. The format is not machine dependent and is free from bounds like processor, operating system, or file systems.
Read MoreOther Supported Binarize Formats
Using C#, you can easily Binarize different formats including: