Image Segmentation SDK Technology

LEADTOOLS provides several different ways to automatically and manually segment images into text and image regions for .NET (C# & VB, Core, Xamarin, UWP), C/C++, iOS, macOS, Linux, Java, and web developers. Image segmentation is important for improving OCR accuracy as well as increasing compression ratios within complex formats such as LEAD MRC, standard MRC T.44, and PDF. It is also useful in medical imaging for separating and identifying specific tissues, organs, and abnormalities.

Overview of LEADTOOLS Image Segmentation SDK Technology

Image Segmentation for OCR Preprocessing

LEADTOOLS OCR SDK technology automatically detects different zones types such as text, graphic, and table in images. Image segmentation is an important step in OCR preprocessing because it helps improve recognition results and speed. LEADTOOLS exposes its powerful and flexible auto-zoning functionality for developers to use in any application that needs to automatically separate images, tables, and text within mixed-content images.

Image Segmentation for Compression

LEADTOOLS includes mixed raster content (MRC) image segmentation technology to optimize compression for images that consist of both text and color images. Standard compression schemes work well when an image is entirely comprised of either text or color elements. The MRC compression scheme segments images into text and color segment types and compresses each segment independently. This results in very high compression factors while retaining important image detail.

Image Segmentation for Medical Imaging

LEADTOOLS provides many powerful medical image processing functions that can isolate objects within medical images with features such as magic wand (seed-based flood fill) region selection, window level, background removal, tissue equalization, histogram equalization, intensity detection, color threshold, and more. Medical image segmentation helps radiologists, oncologists, dentists, diagnosticians, and other health care professionals diagnose patient images with more accuracy and efficiency than with traditional film images.

Technology Related to Image Segmentation

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LEADTOOLS provides NuGet packages for .NET Framework, .NET Core, UWP, and Xamarin development. Download projects that reference our NuGets and start coding right away.

Supported Development Platforms for Image Segmentation

Demo Applications that Include Image Segmentation

HTML5/JavaScript Image Processing

Uses HTML5 and JavaScript to demonstrate some of our image processing technology. LEADTOOLS provides more the 200 image processing functions and only a small subset are shown including:

  • Flip
  • Histogram Equalize
  • Auto Color Level
  • Invert

LEADTOOLS SDK Products that Include Image Segmentation

All LEADTOOLS SDKs include image processing technology. Certain products contain specialized functionality as specified in the developer documentation for each function.

LEADTOOLS Document Imaging v20

Develop powerful document imaging applications with LEADTOOLS Document Imaging. Features include PDF viewing and editing, comprehensive image annotating, specialized bitonal image displaying, and image processing. Other features include performance and memory optimizations for bitonal images, document image cleanup, including inverted text, border, hole-punch, and line removal, and scanning with LEADTOOLS Fast TWAIN and WIA.

LEADTOOLS Recognition v20

The LEADTOOLS Recognition Imaging SDK is a handpicked collection of LEADTOOLS SDK features designed to build end-to-end document imaging applications within enterprise-level document automation solutions that require OCR, MICR, OMR, barcode, forms recognition and processing, PDF, print capture, archival, annotation, and image viewing functionality. This powerful set of tools utilizes LEAD's award-winning image processing technology to intelligently identify document features that can be used to recognize and extract data from any type of scanned or faxed form image.

LEADTOOLS Document Imaging Suite v20

The LEADTOOLS Document Imaging Suite SDK is a comprehensive collection of LEADTOOLS SDK features designed to build end-to-end document imaging solutions that require OCR, MICR, OMR, ICR, barcode, forms recognition and processing, PDF, HTML5 Zero-footprint viewing, conversion, print, capture, archival, annotation, and image viewing functionality. This powerful set of tools utilizes LEAD's award-winning image processing technology to intelligently identify document features that can be used to recognize and extract data from any type of scanned or faxed form image.

LEADTOOLS Medical Imaging v20

Develop powerful Medical Imaging applications with the LEADTOOLS Medical Imaging SDK. Features include comprehensive DICOM data set support, 8-16 bit extended grayscale image support, image annotation, specialized extended grayscale image display such as window level and LUT processing, and medical-specific image processing. Other features include lossless JPEG compression, and signed and unsigned image data processing.

LEADTOOLS PACS Imaging v20

Develop robust DICOM PACS applications with LEADTOOLS PACS Imaging. Features include Medical Web Viewer Framework, high and low-level PACS SCP and SCU functions and controls, secure PACS communication, comprehensive DICOM data set support, image annotation, extended grayscale image display such as window level and LUT processing, and specialized medical image processing. Other features include lossless JPEG compression, JPIP, MRTI, and signed and unsigned image data processing.

LEADTOOLS Medical Imaging Suite v20

Develop powerful PACS and Medical imaging applications with LEADTOOLS Medical Imaging Suite. Features include LEAD's Zero-footprint HTML5 DICOM Viewer, Medical Web Viewer Framework, Medical 3D, DICOM Multimedia codecs, high and low-level PACS SCP and SCU functions and controls, secure PACS communication, Print to PACS, comprehensive DICOM data set support, image annotation, extended grayscale image display such as window level and LUT processing, DICOM Hanging Protocol, and specialized medical image processing. Other features include lossless JPEG compression, JPIP, and signed and unsigned image data processing.