LEADTOOLS Image Segmentation SDK
With LEADTOOLS .NET, WPF, C/C++ and web developers have several different ways to automatically segment images that contain text and image regions. Image segmentation is important for improving OCR Recognition rates and compression efficiency within complex formats such as LEAD MRC, standard MRC T.44, and PDF.
Overview of LEADTOOLS Image Segmentation SDK Technology
Image Segmentation for OCR Pre-Processing
LEADTOOLS OCR SDK technology automatically (using LEAD's AutoZone technology) detects different zones types such as text, graphic and table in an image. Image segmentation is an important step in OCR pre-processing to improve the recognition results. OCR image segmentation auto zoning functionality is also exposed to developers to use in any application that needs to automatically separate images, tables and text within mixed raster content (MRC) 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 both high compression factors while retaining important image detail.
LEADTOOLS SDK Products that Include Image Segmentation Processing
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LEADTOOLS Imaging Pro SDK
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LEADTOOLS Vector Imaging Pro SDK
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LEADTOOLS Document Imaging SDK
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LEADTOOLS Recognition Imaging SDK
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LEADTOOLS Document Imaging Suite SDK
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LEADTOOLS Medical Imaging SDK
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LEADTOOLS PACS Imaging SDK
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LEADTOOLS Medical Imaging Suite SDK
