However, serial processes can lead to efficient processing if information from only one image is sufficient for adequate judgments and the additional image is redundant and potentially unnecessary (Neriani et al., 2008).
There is, for instance, only one image in here that contains a recognizable person; in the picture, a lonely-looking child stares out at us from behind a heavy grill gate.
Using only one image for each double page gives Floca a wide screen, and he exploits it well to capture the Gobi's vastness: a line of tiny motorcars creeping along under a blazing orange and yellow sky; a supply caravan of 75 camels (I counted) snaking to the horizon.
In fact, instead of considering only one image for each application, many realizations of the same image fused together may be very helpful to the segmentation process.
Using only one image for expression recognition needs robust and highly distinctive features to cope with variations in human subjects or imaging conditions[3].
In fact, instead of considering only one image for each application, our technique consists in combining many realizations of the same image, together, in order to increase the information quality and to get an optimal segmented image.
The proposed segmentation approach is conceptually different and explores a new strategy; in fact, instead of considering only one image for each application [4, 16, 24, 25], many realizations of the same image fused together may be very helpful to the segmentation process.
In principle, only one image is considered for each application, whereas many realizations of the same image fused together may be very helpful for the segmentation process.
Even though the form of Intensified-CCD (ICCD), coupled with a gated image intensifier, has extended their use for high speed imaging, the deficiency remains to be solved that ICDD could record only one image in a single shot.
For each genotype analyzed by FLIM, n > 10 samples were imaged and only one image was analyzed per sample.
