I am impressed with the amount of information that exists on many subjects. The problem seems that it lacks utility in the whole. It becomes so well defined and myopic in its study and implementation that the entire value of even considering it is lost in the time it takes to absorb the symbolism, peculiar language use, and attempt to imply that it can be perfectly defined in a mathematical relationship. While studying the algorithms within opencv I discovered watershed and clearly this is the Monte Carlo rain in some sense. The only thing that bothers me a bit is that people will spend a lifetime documenting something that should just leap out at a person once they delve into the application of image analysis. The more random jabbering that is done about a subject, the lower the value and the greater the noise that drowns out everything else.
In this picture that comes with opencv C examples, there are at least 7 algorithms that are obvious implications when presenting this as a situation to be solved.
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