Image Statistical Information SDK Libraries
LEADTOOLS provides a variety of image processing functions for image statistical information for .NET (C#, VB, Core, Xamarin, UWP), C, C++, iOS, macOS, Linux, Java, and web developers. These functions can be used to perform image analysis, histogram corrections, and aid in diagnostic evaluation of medical images.
Image Statistical Information Functions
The LEADTOOLS SDK image processing libraries include functions to gather statistical information from image data including:
- Pixel Count
- Standard Deviation
Statistical information can be gathered from the entire image, region of interest, specific color channels, or a single pixel.
- Count Objects
- Get and Set Pixel Color
- Get and Set Pixel Data Value
- Get Color Count
- Get Feret's Diameter
- Get Image Histogram
- Get Image Min and Max Bits
- Get Min and Max Values
- Get Object Information (Weighted/Unweighted)
- Get Statistical Information
- Get Region Perimeter
- Fast Magic Wand
- Line Histogram and Line Profiling
Easy to Integrate
LEADTOOLS handles the heavy lifting — eliminating months of R&D, while giving you the best quality and performance available. You'll be free to focus on other components of your application. Download the LEADTOOLS evaluation to streamline your development.
Image Statistical Information SDK Platforms and Programming Interfaces
Projects that use LEADTOOLS Image Statistical Information libraries can be deployed to web browsers, Windows, macOS, iOS, Android, and Linux devices.
Image Statistical Information SDK libraries are available for
Start Coding With LEADTOOLS Image Statistical Information
Image Statistical Information libraries for Windows, Linux, and macOS as well as all LEADTOOLS Recognition, Document, Medical, Vector, and Imaging technologies for all development and target platforms.
Online Demo Application that include Image Statistical Information SDK Libraries
Apply some of the image processing functions offered in LEADTOOLS. LEADTOOLS provides more the 200 image processing functions and only a small subset is shown in this interactive demonstration:
- Histogram Equalize
- Auto Color Level