Many different PET segmentation techniques have been proposed as a solution to the delineation of the MTV [9].
There are many work related with segmentation techniques, including nearest neighbor algorithm, fuzzy rules, morphological filters, image entropy, thresholding, machine learning, wavelet analysis, and so on.
Many systems based on the use of a stationary camera employ simple segmentation techniques to obtain foreground region; but this approach fails when the pedestrians have to be detected from moving platforms.
A thorough review of vessel segmentation techniques, with more than a hundred algorithms included, covers many more methods similar to the ones mentioned [ 18].
Among many segmentation methods, k-means clustering is considered as one of the most popular techniques.
Over the last few decades, several segmentation techniques, either in gray level or color images, were presented in literature and many methodologies have been proposed.
Many segmentation algorithms have been developed in order to improve the speed and accuracy of the segmentation process; however, we only discuss the relevant segmentation techniques to CAD or FEA model development.
Over the next 40 years, as Aquarius aged and the billable hours accumulated, marketers explained that such "market segmentation" techniques were the key to untold riches.
Advanced segmentation strategies often combine various segmentation techniques.
Nevertheless, all three segmentation methods underestimate the activity indicating the need for improvement in segmentation techniques.
