Leadtools.ImageProcessing.Core Introduction

Summary

LEADTOOLS Image Processing includes over 200 functions, some of which are typically found only in high performance end-user programs such as Adobe PhotoShop®. The image processing functions are separated into four categories: Transforms, Filters, Color Conversion and Drawing. Additionally, LEADTOOLS image processing functions support region of interest, allowing only a particular region of an image to be processed. Over half of all image functions support both signed and unsigned images.

Key Features:

Change the appearance of the image in a bitmap

Define the bitmap as a display surface where you can use Windows graphics device interface (GDI) functions for drawing or adding text.
Automatically straighten (deskew) 1-bit images.
Automatically straighten (deskew) bank checks.
Remove specks (despeckle) from 1-bit images.
Automatically trim bitmaps to remove blank spaces around the edges.
Rotate the image. (Angles can be precise to 100th of a degree.)
Perform fast rotation in 90-degree increments.
Rotate JPEG or CMP compressed images in 90 degree increments or flip them without loss of quality.
Shear the image in the fashion of a parallelogram. (Angles are precise to 100th of a degree.)
Change the orientation by flipping the image horizontally or vertically.
Use an Auto-Zoning command that recognizes the different parts of an image (whether it is text, graphics(Image) or table).
Use the Rake remove command to remove rakes from images without corrupting the data.
Use the Dot Remove command to remove dots from 1-bit images.
Use the Hole punch remove command to remove hole punches from 1-bit images.
Use the Border remove command to remove borders from 1-bit image.
Use the Line Remove command to remove horizontal or vertical lines from 1-bit images.
Use the Invert Text command to detect and fix inverted text in 1-bit images.

Adjust colors and intensities:

Change brightness using a flat scale.
Change brightness using gamma correction.
Change contrast using a flat scale.
Change contrast using a multi-scale.
Stretch the range of intensities.
Remap intensities using a lookup table.
Create lookup tables based on points on a curve or a mathematical function.
Invert colors.
Change hue of the entire image or just a range of colors.
Change saturation.
Perform histogram equalize and histogram contrast operations.
Fill with a specified color.
Get and put colors of individual pixels.
Color balancing.
Load CMYK TIFF files and keep the data in memory as CMYK.

Apply conversions:

Halftone for display or printing.
Sharpen or blur.
Posterize, specifying the number of color planes.
Mosaic, specifying the tile size.
Emboss, specifying the lighting direction.
Soften an image using an average filter.
Reduce noise using a median or Gaussian filter.
Add noise in any or all color planes.
Picturize with a list of images or a single image.

Apply filters to:

Detect ranges of intensity.
Detect ranges of colors using different color spaces.
Detect edges using gradient or Laplacian edge detection.
Detect lines using Sobel, Prewitt, shift and difference, or line segment detection.
Apply morphological (binary) filters to erode or dilate black objects*.
Implement your own spatial filters.
Combine images using boolean and arithmetic operators, and color masking. (This is useful for combining filtered images with originals.)
Combine two images so that one appears to be an underlying texture of the other.
Combine multiple images to create a new image that resembles the current image.
Combine a list of images to find the average difference between the images.
Remove redeye.
Anti-alias the image.*
Apply a sepia or "old photo" look to the image.
Apply an oil-painting effect.
Apply a solarization effect.
Apply Fourier Transforms to images.
Apply 3D effects: Tunnel, plane, plane bend, etc.
Apply many other effects including: Swirl, Ripple, Radial Blur, Impressionist, Wave, Shear, Remove Redeye, Cubism, Glow, Age, etc.

Use medical imaging processing functions to:

Create Kaufmann regions. The created regions can be used to determine the Kaufmann ratio, which is the size of the corpus callosum divided by the size of the brain sphere.
Extract the individual slices from a radiographic scanned film.

Apply image optimization to: