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
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