Use Python for DICOM Images Binarization
Create Python Apps to Binarize DICOM Images and Photos via Server APIs
Aspose.Imaging for Python
Overview
How to Binarize DICOM Images and Photos with Python
The introduction of color photography marked a pivotal shift in the photographic sphere. Nevertheless, the allure of the classic black and white image still persists. In spite of the prevalence of color cameras, many individuals still opt to convert their photographs into black and white. This transformation is typically achieved through a binarization process, replacing each pixel with a binary value: “0” for white and “1” for black. Black and white images are often used for more than just artistic purposes, finding practical application in scenarios such as printing illustrations in publications like books and newspapers. Within the Python graphics library, you have the ability to set a pixel brightness threshold. Pixels below this threshold assume a black color, while those above it adopt a white color. An adaptive binarization technique is also available, considering the surrounding pixel values to create seamless transitions between color boundaries in the resultant black and white image. For binarizing DICOM files, we will utilize Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.
The system command line
>> pip install aspose-imaging-python-net
Steps to Binarize DICOM via Python
You need the aspose-imaging-python-net to try the following workflow in your own environment.
- load DICOM files with Image.Load method;
- binarize image;
- save binarized image to disc in the supported by Aspose.Imaging format.
System Requirements
Aspose.Imaging for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.
- Microsoft Windows / Linux with .NET Core Runtime.
- Python and PyPi package manager.
Binarize DICOM images - Python
About Aspose.Imaging for Python 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 DICOM via Online App
Binarize DICOM documents by visiting our Live Demos website The live demo has the following benefits
DICOM What is DICOM File Format
DICOM is the acronym for Digital Imaging and Communications in Medicine and pertains to the field of Medical Informatics. DICOM is the combination of file format definition and a network communications protocol. DICOM uses the .DCM extension. .DCM exist in two different formats i.e. format 1.x and format 2.x. DCM Format 1.x is further available in two versions normal and extended. DICOM is used for the integration of medical imaging devices like printers, servers, scanners etc from various vendors and also contains identification data of each patient for uniqueness. DICOM files can be shared between two parties if they are capable of receiving image data in DICOM format. The communication part of DICOM is application layer protocol and uses TCP/IP to communicate between entities. HTTP and HTTPS protocols are used for the web services of DICOM. Versions supported by web services are 1.0, 1.1, 2 or later.
Read MoreOther Supported Binarize Formats
Using Python, you can easily Binarize different formats including: