Image Processing Toolbox

Morphological Operations

Morphology is a technique of image processing based on shapes. The value of each pixel in the output image is based on a comparison of the corresponding pixel in the input image with its neighbors. By choosing the size and shape of the neighborhood, you can construct a morphological operation that is sensitive to specific shapes in the input image.
This section describes the Image Processing toolbox morphological functions. You can use these functions to perform common image processing tasks, such as contrast enhancement, noise removal, thinning, skeletonization, filling, and segmentation. Topics covered include

Terminology	Provides definitions of image processing terms used in this section
Dilation and Erosion	Defines the two fundamental morphological operations, dilation and erosion, and some of the morphological image processing operations that are based on combinations of these operations
Morphological Reconstruction	Describes morphological reconstruction and the toolbox functions that use this type of processing
Distance Transform	Describes how to use the `bwdist` function to compute the distance transform of an image
Example: Marker-Controlled Watershed Segmentation	Steps you through a detailed example of using morphological image processing
Objects, Regions, and Feature Measurement	Describes functions that return information about a binary image
Lookup Table Operations	Describes functions that perform lookup table operations

The Inverse Radon Transform Terminology