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Wiki gives this definition of blob detection

In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions. Informally, a blob is a region of an image in which some properties are constant or approximately constant; all the points in a blob can be considered in some sense to be similar to each other. The most common method for blob detection is convolution.

based on which, is there 8 separate color blobs in this figure?

enter image description here

Is it possible to use clustering algorithm to color blob detection problem?

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You certainly can use DBSCAN to solve this trivial toy example. Because it can do connected-components, and this image is trivial to threshold.

It will just be much much slower than the usual convolution-based methods.

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  • $\begingroup$ Thanks for your answer. The value of 8 is the correct number of color blobs in this case, right? $\endgroup$ – fu DL Aug 9 at 7:27
  • $\begingroup$ Depends on the actual definition you use, not an informal Wikipedia "definition". $\endgroup$ – Anony-Mousse Aug 9 at 7:30
  • $\begingroup$ Would you please give a more formal definition about color blob? $\endgroup$ – fu DL Aug 9 at 7:36
  • $\begingroup$ I'm not doing blob detection. But I'd assume a common definition would be a connected component of pixels which differ in color by at most x. $\endgroup$ – Anony-Mousse Aug 9 at 7:45
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    $\begingroup$ Hue similarity for example, or LAB. $\endgroup$ – Anony-Mousse Aug 9 at 8:39

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