Connected components, in a 2D image, are clusters of pixels with the same value, which are connected to each other through either 4-pixel, or 8-pixel connectivity. 4-pixel connectivity would group all pixels that contact each other on either of their four faces, while 8-pixel would group pixels that are connected along any face or corner. In 3D, your connectivity options, at least for rectangular pixels, are 6, 18, and 26 (faces, faces+edges, faces+edges+corners).
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Connected components, in a 2D image, are clusters of pixels with the same value, which are connected to each other through either 4-pixel, or 8-pixel connectivity. 4-pixel connectivity would group all pixels that contact each other on either of their four faces, while 8-pixel would group pixels that are connected along any face or corner. In 3D, your connectivity options, at least for rectangular pixels, are 6, 18, and 26 (faces, faces+edges, faces+edges+corners).
If it's at a all applicable, I'd like to to take moment recommend you take a look at our newly released image processing software at http://MIPAR.us. We offer several user-friendly ways to segment, and then rapidly calculate and display the connected components of 2D and 3D segmentations. Thanks for the question!
In text detection, connected component plays a vital role. Each connected component ensures that the underlying pixels forms a single character. This helps in identification of characters.