  Digital image analysis has made a big advance in many areas of enterprise
applications including medicine, industry, and entertainment by assisting the
extraction of semantic information from digital images. However, its large
computational complexity has been a trouble to most real-time developments.
While image analysis in general has been studied for a log period in computer
science community, the use of multithreading strategy as the most efficient
improving computational capacity technique has been limited so far. In this
survey an attempt is made to explain the current knowledge and so far
progresses in incorporating image analysis with multithreading approaches. The
present work also provides insights and tendencies for the possible future
enhancement of multithreading image analysis.
