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!
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!
Thank you for the Answer. Can I get information, Why we are using a connected Component in Text detection and by what is the working principle?
added on what is meant by Connected Component Analysis in text recognition
For getting the connected component,
you might want to consider the
flood-fill algorithm
https://en.wikipedia.org/wiki/Flood_fill
preceeded by posterization, trying to
assimilate color.
https://en.wikipedia.org/wiki/Posterization
In order to do OCR, you could also use
skeletonization.
https://en.wikipedia.org/wiki/Topological_skeleton
http://homepages.inf.ed.ac.uk/rbf/HIPR2/thin.htm
Then you can compute histograms of either
- distances of pairs of pixels within a skeleton
- normal vectors of the contour
For OCR, compare these histograms.
Regards,
Joachim
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.
hi
for more detailed description check the paper
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6471224&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F83%2F6490370%2F06471224.pdf%3Farnumber%3D6471224
https://cvit.iiit.ac.in/papers/kaushik01cca.pdf
http://www.comp.nus.edu.sg/~cs4243/projects/TextDetectionSurvey.pdf
I have a practical sample for this analysis.You can refer to the following publication:
Article Automatic building extraction in dense urban areas through G...
This paper discusses some of the important algorithms:
"What is the world's fastest connected component labeling algorithm? "
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6986069&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6973465%2F6986048%2F06986069.pdf%3Farnumber%3D6986069
Your answer is in below link:
https://www.mathworks.com/help/images/ref/bwconncomp.html
please help me to find the precise answers for the following terms;
1. Connected Component
2. Connected Set
3. Adjacent regions
4. disjoint regions
Connected-component labeling is used in computer vision to detect connected regions in binary digital images, although color images and data with higher dimensionality can also be processed. When integrated into an image recognition system or human-computer interaction interface, connected component labeling can operate on a variety of information.Blob extraction is generally performed on the resulting binary image from a thresholding step, but it can be applicable to gray-scale and color images as well. Blobs may be counted, filtered, and tracked.
for more details with matlab
https://www.mathworks.com/help/images/ref/bwconncomp.html
Dear,;
Please check the following links.
https://www.mathworks.com/help/images/ref/bwconncomp.html
Regards
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